\nBest Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools. We aim to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them.\n\n\nWe offer a flexible work experience, top-tier benefits, and growth opportunities in a culture built on our core values:\n\n\nPut People First – We foster an inclusive, flexible, and fun workplace.\nCreate Clarity – Open communication drives trust and results.\nGet Things Done – We focus, prioritize, and deliver with excellence.\nDeliver with Heart – We lead with kindness, humility, and strong teamwork.\nListen to Our Customers – Their needs drive our innovation.\n\n\nWe are looking for collaborative, innovative team players who like to solve problems. If you're inspired by inspiring others and want to make a real difference, Best Egg is the place for you.\n\n\nWe’re proud to be an equal opportunity employer committed to building a diverse, inclusive team.\n\n\nThe Lead Software Engineer II is responsible for developing robust, scalable backend services that power the Best Egg Financial Health and Best Egg native app platforms. This role focuses on designing, building, and maintaining server-side application logic using Python in a cloud-native AWS environment.\nThe Best Egg native app enables customers to view and service their loans, providing secure and easy access to account information, payment management, and other self-service features. It is a critical part of our digital experience and customer engagement strategy. Best Egg Financial Health is a judgment-free, financial safe space where customers gain practical insights into how their financial decisions impact their ability to access money.\nYou'll be working closely with a highly skilled and growing team to transform how customers interact with credit by enabling data-driven tools such as financial forecasting, budgeting recommendations, loan servicing, and analytics services that support an intelligent and intuitive user experience.\n\n\n\nDuties & Responsibilities\n* Develop and maintain backend systems using Python in an AWS cloud-native environment.\n* Design and implement scalable RESTful APIs and services that support mobile and web applications.\n* Develop and support backend services used by the Best Egg Financial Health and Best Egg native app platforms.\n* Integrate with data pipelines and analytics services to power real-time financial tools.\n* Ensure systems are monitored, secure, and reliable using observability and logging best practices.\n* Collaborate cross-functionally with front-end developers, mobile engineers, DevOps, data scientists, and product managers.\n* Participate in code reviews, architecture discussions, and team ceremonies within Agile/Scrum processes.\n* Write clear technical documentation and contribute to design discussions and sprint planning.\n\n\n\nMinimum Requirements\n* We’re looking for a backend engineer with a strong Python background and a few years of experience building reliable, cloud-based systems. The right person is comfortable working in a fast-paced environment, enjoys solving problems, and can clearly communicate ideas with both technical and non-technical teammates.\n* Bachelor’s degree in computer science, Engineering, or equivalent work experience\n* 3–5 years of backend development experience using Python\n* Strong experience with cloud-native development in AWS (e.g., Lambda, API Gateway, S3, DynamoDB, RDS)\n* Familiarity with Infrastructure as Code (e.g., CloudFormation, Terraform)\n* Experience building and consuming REST APIs\n* Experience supporting mobile app backends is a strong plus\n* Understanding of Continuous Integration and Continuous Deployment (CI/CD) workflows\n* Familiarity with containerization (Docker) and orchestration (ECS or Kubernetes) is a plus\n* Ability to write clean, maintainable, testable code\n* Ability to create design docs, mockups, and lead whiteboard discussions\n* Track record solving problems and delivering high-quality solutions\n\nLeadership:\n* The ideal candidate demonstrates strong technical leadership, takes ownership of their work, and thrives in cross-functional collaboration. We are seeking an individual who is organized, self-motivated, and committed to mentoring others.\n* Demonstrated technical leadership, including coaching and mentoring team members\n* Ability to take ownership of significant features or services from design through deployment\n* Comfortable interacting with colleagues across engineering, product, design and test engineering\n* High self-efficacy, well-organized, and able to manage multiple priorities effectively\n* Passionate about reducing manual and repetitive work when designing and building backend tools and infrastructure\n\nCulture:\n* The ideal candidate aligns with Best Egg’s core values and culture. At Best Egg, we’re proud to support millions of people navigating their financial lives. We hold ourselves to high standards—in our work, our collaboration, and how we treat one another. Our team leads with accountability and a shared commitment to our values, customers, and communities.\n* People-first mindset with a focus on inclusion, collaboration, and clear communication\n* Driven to prioritize what matters and deliver results with urgency and excellence\n* Team-oriented, and always listening to improve the customer experience\n* Advocate and practitioner of Agile methodologies\n* Strong communication skills, both written and verbal\n* Values knowledge sharing and continuous improvement\n\n\n\n\n\n$90,000 - $120,000 a yearIn addition to semi-monthly salary payments, this position is also eligible for an annual incentive bonus based on individual and company performance. Yearly incentive bonus target is 20%.\n\nEmployee Benefits\nBest Egg offers many additional benefits for our employees, including (but not limited to):\n· Pre-tax and post-tax retirement savings plans with a competitive company matching\n program\n· Generous paid time-off plans including vacation, personal/sick time, paid short-- \n term and long-term disability leaves, paid parental leave, and paid company \n holidays \n· Multiple health care plans to choose from, including dental and vision options\n· Flexible Spending Plans for Health Care, Dependent Care, and Health \n Reimbursement Accounts\n· Company-paid benefits such as life insurance, wellness platforms, employee\n assistance programs, and Health Advocate programs\n· Other great discounted benefits include identity theft protection, pet insurance,\n fitness center reimbursements, and many more!\n#LI-REMOTE\n\n\nIn compliance with the CCPA, Best Egg is fully committed to handling the personal information and data of employees and job applications responsibly with respect and due care. Review our CCPA Employee Policy here \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, API, Mobile, Engineer and Backend jobs that are similar:\n\n
$60,000 — $122,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote / Flexible
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAt Fullscript, we’re not just changing healthcare—we’re making it whole.\n\n\nWe help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.\n\n\nHealthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.\n\n\nWe’re building a better way—one where healthcare is connected, complete, and built for impact.\n\n\n\n\n📊 BUILD DATA. DRIVE INSIGHTS. IMPACT HEALTHCARE.\n\n\nWe’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration,, and building dynamic experiences for our customers. We are investing heavily in the coming years to make data more accessible to our internal teams and to leverage it within our application to provide our practitioners and patients with data-driven tools and experiences.\n\n\nAs the Senior Data Analytics Engineer, you will be building the data platform that powers our decision-making and growth. This same platform also provides key insights about our practitioners and their patients through analytics and advanced metrics.\n\n\n\nWhat you'll do: \n* Work cross-functionally to help maintain, build and deploy a Commercial data warehouse to serve reporting, analytical, and self-service needs for key Fullscript stakeholders\n* Work with your leader and team to collaborate on initiatives across functions such as Analytics, Commercial, and RevOps to understand and improve their data\n* Write data transformation code in ELT pipelines to integrate that data into our data warehouse for consumption by the reporting and data analytics functions\n* Mentor and provide technical guidance to junior members of the data engineering team\n* Work with other data engineers to create and populate the data models for downstream consumption, and write the necessary tests to ensure data quality\n* Apply advanced data engineering techniques to optimize performance and scalability of data pipelines\n* Leverage AI and machine learning to build models that are responsive to business requirements and enable the delivery of streamlined, dynamic experiences for customers\n* Apply version control, testing and continuous integration (CI) in the data transformation code\n* Create and maintain data documentation and definitions\n\n\n\nWhat you bring to the table: \n* 5+ years in Data Analytics and/or Data Engineering position as part of ETL/ELT process or data insights development\n* Strong proficiency with SQL and experience using Python for data transformation\n* Experience working with dbt (data build tool)\n* Experience working with Cloud Data warehouses like Snowflake, BigQuery, Redshift and RDBMS (PostgreSQL, MySQL)\n* Hands-on experience with data modeling, schema design, and optimization techniques\n* Proven track record of implementing and maintaining data transformation pipelines using tools like dbt (data build tool), Argo, Airflow, or similar workflow orchestration tools\n* Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies\n* Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders\n* Continuous learning mindset with a keen interest in exploring new technologies and methodologies in the data engineering space\n\n\n\nBonus qualifications: \n* Experience with DevOps practices and tools for automated deployment and infrastructure management\n* Practical experience building and deploying data models that leverage AI and machine learning (using Azure, AWS, Snowflake, etc.)\n* Familiarity with machine learning concepts and frameworks for implementing predictive analytics solutions\n* Previous experience in a leadership or mentorship role within a data engineering team\n* Write us a cover letter explaining why data engineering is of special interest to you\n\n\n\nWhat we can offer you:\n* Generous PTO and competitive pay \n* Fullscript’s RRSP match program for financial health \n* Flexible benefits package and workplace wellness program\n* Training budget and company-wide learning initiatives \n* Discount on Fullscript catalog of products \n* Ability to work Wherever You Work Well*\n\n\n\n\n\n\nWhy Fullscript?\n\n\nGreat work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:\n\n\n⬦ Values innovation—we push boundaries and always look for better ways.\n⬦ Supports growth—through learning, mentorship, and meaningful work.\n⬦ Cares about balance—with flexible work options and time off when you need it.\n\n\n📌 Apply now—let’s build the future of healthcare, together.\n\n\nFullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email [email protected] for support.\n\n\nBefore joining the team, all candidates who receive and accept an offer will complete a background check.\n\n\n🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ\n🔥 IN THE NEWS: Fullscript acquires Rupa Health\n📺Let’s make healthcare whole \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n
$67,500 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nGauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.\n\n\nGauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.\n\n\nGauntlet’s mission is to drive adoption and understanding in the financial systems of the future. Building with decentralized systems creates novel challenges for mechanism designers, smart contract developers, and end-users of financial products, which are not seen in traditional software development and investing contexts. Gauntlet is dedicated to enhancing our industry’s understanding of this new domain and revealing how to safely navigate the true bleeding edge of 21st-century financial innovation.\n\n\nTeam Overview\n\n\nThe Data Team is responsible for developing and maintaining robust data pipelines that ensure the accuracy and availability of data across the organization. They work closely with other teams to provide insights and analytics that drive business strategies and optimize performance. The Data Team enhances the company's data-driven decision-making capabilities by leveraging advanced data processing frameworks and tools.\n\n\n\nResponsibilities\n* Design, implement, and maintain scalable data processing solutions for Gauntlet’s data platforms, focusing on high availability and performance.\n* Collaborate with data scientists and product managers to develop and enhance data ingestion and processing systems tailored to the needs of the data team.\n* Participate in code and design reviews specific to data projects, offering constructive feedback and ensuring adherence to best practices in data software development.\n* Stay informed about emerging data technologies and industry trends to drive innovation and improve data system architecture.\n* Develop and maintain technical documentation to support data system operations and facilitate knowledge sharing within the data team.\n* Identify, troubleshoot, and resolve data-related software issues, ensuring the reliability and efficiency of the data platform's services.\n\n\n\nQualifications\n* 3+ years of professional experience in software development, with a focus on backend data systems.\n* Proficient in at least one programming language commonly used for data processing and streaming applications, such as Python or Rust, within a data team context\n* Experience with data ingestion and processing frameworks, such as Kafka, tailored to the needs of a data team\n* Excellent problem-solving and analytical skills, with a focus on building scalable and efficient data systems\n\n\n\nBonus Points\n* Strong understanding of blockchain technology and DeFi protocols, with a keen interest in expanding knowledge in these areas, especially regarding data systems.\n* Experience in building real-time applications or systems.\n* Knowledge of Rust \n\n\n\nBenefits and Perks\n* Remote first - work from anywhere in the US & CAN!\n* Competitive packages with the added opportunity for incentive-based compensation\n* Regular in-person company retreats and cross-country "office visit" perk\n* 100% paid medical, dental and vision premiums for employees\n* Laptop provided\n* $1,500 WFH stipend upon joining\n* $100 per month reimbursement for fitness-related expenses\n* Monthly reimbursement for home internet, phone, and cellular data\n* Unlimited vacation policy\n* 100% paid parental leave of 12 weeks\n* Fertility benefits\n\n\n\n\n\n\nPlease note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.\n\n\nThe national pay range for this role is $165,000 - $205,000 plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company. \n\n\n#LI-Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Crypto, Python, Engineer and Backend jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City / San Francisco / Los Angeles / Remote
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout Arbitrum Foundation\n\n\nThe Arbitrum Foundation is dedicated to scaling Ethereum through cutting-edge Layer 2 solutions. Our flagship product, Arbitrum One, an Optimistic Rollup, enables faster, more affordable transactions while maintaining Ethereum’s security and decentralization. We empower developers to build decentralized applications (dApps) that are both scalable and secure, using Arbitrum chains, which offer flexibility in performance and cost. Our mission is to enhance the Ethereum ecosystem and drive the adoption of Web3 technology by delivering high-performance, open-source blockchain solutions. Arbitrum is already the leading Ethereum scaling solution with hundreds of dApps on the platform and over $13bn TVL.\n\n\nAt the Arbitrum Foundation, we value decentralization, innovation, and community. We are committed to shaping the future of decentralized finance and blockchain technology, and we’re looking for passionate individuals to help us build the next generation of the Web.\n\n\nYour Role\n\n\nAs a Data Engineer, you'll play a foundational role in reshaping our data infrastructure while also delivering key insights to drive decision-making. You’ll be responsible for setting up data pipelines, integrating multiple sources (on-chain & off-chain), and maintaining existing dashboards while creating new ones for our leadership and internal teams.\n\n\nThis is a hybrid role, ideal for someone who enjoys both the technical challenge of data engineering and the business impact of analytics. You’ll work closely with cross-functional teams to ensure our data is accurate, accessible, and actionable.\n\n\n\nYour Responsibilities\n* Design & implement scalable data pipelines to ingest, transform, and store data from multiple sources (blockchain data, Google Analytics, CRM, internal databases).\n* Build & maintain a centralised data warehouse (BigQuery or similar) to unify structured and unstructured data.\n* Develop & optimise SQL queries for data extraction and reporting.\n* Create and maintain dashboards to visualize key metrics, helping teams make data-driven decisions.\n* Ensure data accuracy & reliability by implementing validation and quality assurance processes.\n* Automate data processes and improve efficiency through scripting (Python, SQL).\n* Integrate Web3 analytics tools (e.g. Dune Analytics, Allium, Flipside, etc.) for blockchain data insights.\n* Assess leads (e.g. grant proposals, product requirement documents, etc) from a technical and data standpoint, focusing on the technical team capabilities, architecture and source code and the timeline credibility.\n\n\n\nWhat You'll Need\n* Strong SQL skills (BigQuery, PostgreSQL, or similar).\n* Experience with ETL tools (e.g. Airbyte, Fivetran, or other or custom-built solutions).\n* Proficiency in Python for scripting and automation.\n* Ability to work with a variety of APIs to extract and integrate data (e.g. Google Analytics, CRM, blockchain indexers).\n* Understanding of blockchain data structures, and how to work with transaction data.\n* A pragmatic mindset—you know when to build from scratch and when to use existing solutions.\n* Experience with data visualisation tools (e.g. Looker, Google Data Studio, Metabase).\n* Ability to communicate insights to non-technical stakeholders.\n\n\n\nNice to Have\n* Knowledge of blockchain indexing (e.g. TheGraph, SubSquid, etc.) and smart contract transactions decoding.\n* Hands-on experience with Dune Analytics, Allium or Nansen.\n* Familiarity with data governance best practices.\n\n\n\n\n\n\nArbitrum Foundation Perks\n\n\nThe Arbitrum Foundation's benefits program is designed to prioritize the health and well-being of you and your family. Our comprehensive compensation package offers a range of benefits for all full-time employees:\n\n\n- Remote first global workforce\n- Industry-leading healthcare insurance\n- Home office set-up allowance\n- Wellbeing allowance\n- Growth / continuing education allowance\n- Flexible time off\n- Company-issued laptop\n\n\nThe Arbitrum Foundation is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. The Arbitrum Foundation is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.\nIf you believe you're a strong candidate but don’t meet every requirement listed in the job description, we still encourage you to reach out. We’d love the opportunity to connect and explore how you could be a great fit for the role.\n\n\nLearn More about The Arbitrum Foundation\nWebsite|Twitter|Telegram|Discord|LinkedIn \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Web3, Python, Finance and Engineer jobs that are similar:\n\n
$55,000 — $90,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nDogs, cats, budgies and everything in between - pets deserve the world. They make us want to be better humans. That’s why we’ve made it our mission to build the most engaged and passionate community of pets and pet parents across the world. And we’re looking for talented team mates who can help us do it.\n\n\nFounded in Sydney, our team of 500+ pet obsessives span Australia, New Zealand and the Philippines. We’ve scaled to become one of Australia's top five eCommerce companies and the no.1 online pet store. But we’re just getting started. Like a whippet who’s spotted their mate across the dog park, our growth is only going to accelerate, as we continue to disrupt the way that pet parents shop.\n\n\nExcitingly, the pet industry is booming (as in $15 billion kind of booming) and online pet retail is set to grow exponentially in the next five years. So this is a unique career opportunity to be part of our epic growth story. \n\n\nThe Opportunity \nPet Circle is implementing a company-wide data governance program to manage the organisation's data assets. The framework encompasses the policies, procedures, roles, responsibilities, and standards that ensure data availability, quality, consistency, and security across the enterprise. Our team’s mission is to leverage data and analytics to drive strategic decision-making, optimise operations, and enrich pet care with personalised experiences for pets and their parents.\n\n\nThis role is responsible for completing the build-out of this environment by adding and refining data feeds, transforming the data into models and more, and ensuring that these are highly available and highly reliable for use within the business. Expected technical skills are solid SQL and a good understanding of "big data" databases & engineering in Python with a mindset of testable accuracy, observable performance, and sound design. \n\n\nThe right candidate will have a genuine interest in using data to achieve business goals, and work with a variety of engineers, data scientists, analysts, and stakeholders around the business to help them achieve their goals. Expect to collect requirements, propose solutions, and work through post-launch with project leads.\n\n\nThe Technical Environment\nPet Circle runs a Big Query/GCP data environment with several continuously increasing inbound data feeds. While Java is the primary language used to build our internal systems, the Data & Analytics team uses Python. You will work directly in Google Cloud Platform and Big Query, coding extracts and transforms using Python and Dataform (Google’s alternative to DBT). There are relational databases that you will use to inform and build the data models.\n\n\nThis role is fully remote based out of the Philippines. You will be working closely with distributed team members based in Australia, New Zealand and the Philippines. You would be expected to work on standard hours for Philippines Standard Time, or a few hours earlier as it suits you. \n\n\n\nYour Responsibilities: \n* Write feeds to collect data from external systems\n* Write transforms to process data into more information-rich data models\n* Ensure data assets are automatically monitored for performance, reliability, and availability\n* Create one-off or recurring data sets for statistical or advanced analysis\n* Maintenance tasks to handle changing environment (e.g. address upstream schema changes by modifying transform)\n* Document processes and data structures so that they are maintainable and usable by others\n* Create visualisations and interactive reports\n* Perform basic security and privacy management\n* Participate in the team roster to support business users using our data and platform\n* Work with other teams in scrums, ideation sessions, and various other formats to make the value of Data realisable across different parts of the business\n\n\n\nYour Experience: \n* 2-5+ years experience in data engineering or analytics engineering\n* Extensive experience and expertise in SQL and Python \n* Experience with BI tools (PowerBI, Tableau), preferably Looker\n* Experience modelling data and creating transformation pipelines with Dataform or DBT\n* Worked with cloud-based data warehouses (Redshift, BigQuery, Snowflake, Databricks, etc)\n* Demonstrated experience in collaborating and supporting non-technical users\n* Autonomous, reliable, and great communication skills\n* Comfortable working with remote and distributed teams\n\n\n\n\n\n\nRole Location\nOur Philippines team are highly autonomous and empowered to do their best work remotely - so you will be working from your home office. You should have a good home office set-up and a reliable internet connection.\n\n\nWhy Join?\nWe reckon our mission to help the world Pet Better is an important one, but also an incredibly fun and rewarding one. Becoming a Pet Circler means you’re committed to help shape an entire industry - it’s pretty exciting stuff. Here’s what we stand for:\n\n\nWe’re better together\nWe operate with humble hearts and hungry minds\nPets matter; so pets and pet parents always have a seat at our table\nWe’re instinctively curious. Always\n\n\nBelong at Pet Circle\nOur unique perspectives and expertise is our superpower - we value diversity in all forms. So, no matter your background, please apply if this role makes you excited to bring your full self to work each day. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Java, Cloud, Engineer and Ecommerce jobs that are similar:\n\n
$50,000 — $95,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nPhilippines
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nWho we are:\n\nRaft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.\nWe’re looking for an experienced DevSecOps Engineer to support our customers and join our passionate team of high-impact problem solvers.\n\nAbout the role: \n\nAs a DevSecOps Engineer, you will be responsible for developing and implementing secure, end-to-end cluster and application lifecycles in cloud environments. You will collaborate with clients and internal teams to design and implement containerization solutions using Kubernetes or Docker. A key aspect of your role will involve building and maintaining CI/CD pipelines, ensuring a smooth, secure software update process. Additionally, you will apply GitOps principles for software delivery automation, ensuring that systems are both efficient and secure. Your work will support the organization's goals of enhancing security, scalability, and operational efficiency.\n\n\nDesign, develop, and implement secure, end-to-end Kubernetes or Docker-based cluster and application lifecycles.\n\n\nCollaborate with clients and internal teams to architect containerized solutions and cloud-native applications.\n\n\nBuild, maintain, and optimize CI/CD pipelines to ensure secure and seamless software delivery.\n\n\nApply GitOps principles for automated and reliable deployment processes.\n\n\nImplement DevSecOps best practices, ensuring security is integrated at every stage of the development lifecycle.\n\n\nEnsure effective log management and use analytics tools for system monitoring and optimization.\n\n\nLeverage AWS cloud services and other cloud platforms to ensure system reliability, scalability, and security.\n\n\nContribute to the development of secure network configurations and cloud-based security architecture.\n\n\nMaintain strong familiarity with Agile, DevOps, and DevSecOps methodologies to enhance operational efficiency.\n\n\nAssist in implementing Service Mesh solutions (e.g., Istio) to support secure and efficient service-to-service communications.\n\n\nCollaborate with teams using version control systems like GitLab, and work with automation tools like Ansible, Maven, and Gradle.\n\n\nParticipate in software development using CI/CD pipelines, with a focus on security and automation.\n\n\nStay current with cloud technologies, industry best practices, and evolving security threats to recommend innovative solutions.\n\n\nMaintain infrastructure using IaC/CaC\n\n\n\n\nWhat we are looking for:\n\n\n3-4 years of experience with Kubernetes or Docker\n\nDevelop and implement end-to-end cluster and application lifecycles \n\nExperience with AWS and cloud technologies\n\nGood grasp of Agile, DevOps, and DevSecOps methodologies\n\nNetworking experience\n\nExperience or knowledge of Service-Mesh, such as Istio\n\nGood knowledge of version control systems like Gitlab\n\nExperience in software systems development using CI/CD pipelines\n\nStrong problem-solving skills\n\nPassionate about automation, system efficiency, and security\n\nExperience with Log Management and Analytics tools\n\nProficient in tools like AWS Cloud Services, Gitlab, Ansible, Maven, Gradle\n\nExperience with Unit/Integration Testing\n\nFamiliarity with Infrastructure as Code\n\n\n\n\nHighly preferred: \n\n\nExperience with writing custom Helm Charts\n\nBasic experience with Big Data\n\nMultilingual programming abilities\n\nKnowledge in automation languages like Python or GoLang\n\n\n\n\nClearance Requirements:\n\n\nActive Secret security clearance\n\n\n\n\nWork Type: \n\n\nRemote\n\nMay require up to 10% travel\n\n\n\n\nSalary Range:\n\n\n$90,000 - $170,000\n\nThe determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities\n\n\n\n\nWhat we will offer you: \n\n\nHighly competitive salary\n\nFully covered healthcare, dental, and vision coverage\n\n401(k) and company match\n\nTake as you need PTO + 11 paid holidays\n\nEducation & training benefits\n\nAnnual budget for your tech/gadgets needs\n\nMonthly box of yummy snacks to eat while doing meaningful work\n\nRemote, hybrid, and flexible work options\n\nTeam off-site in fun places!\n\nGenerous Referral Bonuses\n\nAnd More!\n\n\n\n\nOur Vision Statement: \n\nWe bridge the gap between humans and data through radical transparency and our obsession with the mission. \n\nOur Customer Obsession: \n\nWe will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.\n\nHow do we get there? \n\nPublic-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. \n\nRaft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud and Engineer jobs that are similar:\n\n
$40,000 — $85,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nColorado Springs, Colorado, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nSalary range: $160k – $210k\n\nEquity range: 0.05% – 0.20%\n\n \n\nWhat we are looking for:\n\nKalepa is looking for a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment at the scale of machine learning models. As a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. You will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk. \n\nTeam members are given full ownership over their projects and are expected to drive the project’s direction and maintain focus. The team works in a two-week sprint, and ML Engineers will work closely with Product Management and Software Engineers.\n\nAbout you:\n\n\n* You have 5+ years of experience in engineering and data science.\n\n* You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer. The words “it can’t be done” don’t exist in your vocabulary.\n\n* You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics\n\n* You are experienced in Python and its major data science libraries, and have deployed models and algorithms in production\n\n* You are comfortable with data science as well as with the engineering required to bring your models to production.\n\n* You are excited about using a wide set of technologies, ultimately focused on finding the right tool for the job.\n\n* You value open, frank, and respectful communication.\n\n\n\n\nAs a plus:\n\n\n* You have experience with AWS\n\n* You have hands-on experience with data analytics and data engineering.\n\n\n\n\nWhat you’ll get: \n\n\nCompetitive salary (based on experience level).\n\nSignificant equity options package.\n\nWork with an ambitious, smart, global, and fun team to transform a $1T global industry.\n\n20 days of PTO a year.\n\nGlobal team offsites.\n\n100% covered PPO medical, 100% covered vision and dental for individuals and families.\n\nHealthy living/gym stipend. Mobile phone bill stipend.\n\nContinuing education credits.\n\n401(k) plan with employer contribution (regardless of employee contribution)\n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Education, Mobile, Senior and Engineer jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York, New York, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout Super.com\n\n\nWe started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized. \n\n\nWe are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.\n\n\nAbout this role\nAs a staff full-stack engineer you will be one of the most senior technical contributors on our teams. You will tackle the most difficult technical challenges the team faces spanning both frontend and backend web development work. This will include building features for our fintech, travel, eCommerce, and/or superapp products along with the engines and frameworks that power them. You will predominantly work with React on the frontend, and a combination of Python and Node microservices on the backend. Other technologies you’ll work with include Gitlab, AWS, Postgres, Redis, Datadog, Amplitude, and Snowflake. You will report to an Engineering Manager. From a Senior Engineer you may grow on the IC track into a Staff Software Engineer or on the people track into an Engineering Manager.\n\n\n\nAbout You\n* We’re looking for highly-motivated self-starters who share our excitement for growth and impact\n* Willing and able to work with both backend and frontend parts of the stack, though the proportion of time spent doing each will be influenced by the candidate’s interests\n* Interested in building products in a startup environment: moving quickly, being data-driven, wearing multiple hats, continuously learning\n* Strong communicator, and able to thrive on an agile team, contributing to: standups, sprint ceremonies, and quarterly project planning, and working with various internal and external stakeholders\n* Highly motivated, have a strong sense of ownership, and are able to drive complex projects end-to-end\n* 8+ years of professional working experience in software development, including 5+ years of Python or Node on the backend, and 5+ years working with a modern frontend JS framework (ex. React, Vue, Angular)\n* Experience working with web services / modern web technologies and comfortable tackling system design challenges\n* Have mentored more junior developers\n\n\n\nChallenges you'll solve\n* Ship projects end-to-end in a fast-paced, iterative environment\n* Have the opportunity to very meaningfully propel the business forward, and experience the impact of your work on the company’s business metrics and user experience\n* Own features, services, caches, and databases, including deployment, monitoring, debugging, and testing\n* Uphold standards for quality by performing code reviews\n* Mentor junior developers\n* Participate in cross-functional team projects, work with external stakeholders, and help shape the roadmap for future team projects\n* Be data-driven and close to the customer, conducting experiments for nearly everything you launch\n\n\n\nBonus Points\n* Working experience across a breadth of our infrastructure, languages and stacks (React, Python, Node, Gitlab, AWS, Docker, Postgres, Redis, Datadog, Amplitude, and Snowflake)\n* SQL / analytics know-how, and experience with devops concepts\n* Experience in a startup environment\n* Worked closely with business stakeholders\n* Experience writing end-to-end/browser-based tests\n\n\n\nWe've got you covered!\n* Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets \n* We are remote first – you have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms \n* Other perks include: unlimited PTO, recharge days, travel discounts on SuperTravel, Weekly UberEats credit\n* We welcome new family additions with generous parental leave and a flexible return-to-work plan\n* This is just scratching the surface – check out our careers site for a more detailed overview of our perks & benefits\n\n\n\n\n\n$125,000 - $210,000 a yearAs part of our compensation philosophy at Super.com we benchmark roles based on geographic location. The base salary range for this position is $125,000 CDN - $210,000 CDN.\n\nWe Believe in Equal Opportunity \n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. \n\n\nAccommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, React, Python, DevOps, Node, Senior, Junior, Engineer and Backend jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nVancouver
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nCompany Description\nGivebutter is the most-loved nonprofit fundraising and CRM platform, empowering millions of changemakers to raise more, pay less, and give better. Nonprofits use Givebutter to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts—all in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model. \n\n\nGivebutter has been certified as a Great Place to Work® in 2021, 2022, 2023, and 2024, and is the #1 rated nonprofit software company on G2 across multiple categories.\n\n\nOur mission is to empower the changemaker in all of us. We believe giving should be fun, so you’ll want to do it again, and we also believe that work should be fun, so that you’ll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way. \n\n\nRole Description\nGivebutter is looking for a talented and passionate Analytics Engineer to join our growing Data team. We’re looking for someone to be a strong partner and collaborator, working with engineers, analysts, and stakeholders to understand business needs and data capabilities, and build solutions that scale as we grow.\n\n\n\nWe want to hear from people who…\n* Have successfully designed and implemented a fit-for-purpose data model optimized for action-oriented analytics use cases and company-wide reporting.\n* Have experience creating and maintaining scalable, cost-effective data pipelines to manage and transform large amounts of data and ensure a high-quality data model.\n* Can partner with Product and Engineering to integrate data upstream and downstream across our customer engagement platforms (Hubspot, Stripe, etc.).\n* Know how to establish and enforce robust data integrity standards to ensure data is consistent, timely and accurate.\n\n\n\nResponsibilities\n* DATA MODELING\n* Gain a deep understanding of data needs and use cases, partnering with stakeholders and analysts to understand what’s needed in the short- and medium-term.\n* Own the creation and execution of the data model that supports these needs, with a focus on quality, usability, and adaptability in a fast-changing environment.\n\n\n\n* PIPELINE BUILDING AND MANAGEMENT\n* Own the creation and execution of data pipelines that drive business intelligence and analytics across the company.\n* Partner with Product and Engineering in ingesting and transforming data into a reliable, usable, and scalable structure.\n* Own the company’s data stack (we use Snowflake, dbt, Fivetran, Mozart, and Hex).\n* Consistently deploy solutions that improve the efficiency of data transforms, with a focus on speed, cost effectiveness, and stability.\n\n\n\n* DATA INTEGRATION\n* Define what needs to be tracked in our different platforms and translate these into technical requirements for Product and Engineering.\n* Drive the future roadmap of Product and Revenue teams from a data systems perspective.\n\n\n\n* DATA GOVERNANCE AND TESTING\n* Implement and ensure consistency in data, metrics definition, and terminology across all data products: data warehouse, KPIs, dashboards, reports, and self-serve.\n\n\n\nRequirements\n* Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.\n* Expert programming and data manipulation skills using SQL and Python (or any coding language).\n* Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions.\n* Experience developing data models and designing data warehouses.\n* Experience building multi-step ETL jobs/data pipelines.\n\n\n\n\n$120,000 - $150,000 a year\n\nBenefits\nRemote Work: Work from anywhere in the United States.\nHealth Insurance: We offer Medical, Dental, and Vision insurance covered 100% for employees as well as HSA and FSA accounts.\nMental Health: Givebutter health insurance plans come with access to a TalkSpace membership.\n401k: We offer access to a retirement planning account for all employees.\nVacation and Holiday: Take up to 15 days of paid vacation time per year plus additional days per year with the company. We also take off all 10+ Federal Holidays and provide 2 floating holidays.\nParental Leave: We offer 12 weeks paid parental leave for both primary and secondary caregivers.\nHome Office Stipend: Upgrade your home office with company-sponsored expenses including high-quality laptops, monitors, and modern technology.\nCharitable Giving: Employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter.\nProfessional Development: We offer learning and development reimbursement opportunities.\nLove What You Do: We are a mission-driven company serving the charitable sector. Feel good about the work you're doing and the company you work for. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python and Engineer jobs that are similar:\n\n
$57,500 — $102,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
The Role\n\nLeafLink is seeking a Principal Data Engineer to join our remote-friendly team, headquartered in NYC, who is passionate about working with teams that solve interesting, large-scale problems rapidly. This impactful position enables LeafLink to coordinate and integrate with 3rd party data sets and proprietary data to produce valuable insights into business and customer needs. As a member of our engineering team, you will be in a position to have a direct and lasting impact everywhere in the company. Your contribution will be immediate and have positive ripple effects across not just our business, but also the business of each of our customers. \n\nLeafLink is currently tackling a large-scale platform overhaul that will strengthen our position as a technical leader within the industry. As such, this role has the opportunity to help lead, shape, and grow the data and machine learning architecture within our platform, as well as work with new and growing technologies. It’s a very exciting time to join our engineering team!\n\nIdeal candidates for this position should possess a keen mind for solving tough problems with the ideal solution, partnering effectively with various team members along the way. They should be deeply passionate about organizing and managing data at scale for various use cases. They should be personable, efficient, flexible, and communicative, have a strong desire to implement change, grow, mature, and have a passion and love for their work. This role comes with the opportunity to be a high performer within a fast-paced, dynamic, and quickly growing department in all areas.\nWhat You’ll Be Doing\n\n\n* Audit, design, and maintain a high-performing, modular, and optimal data pipeline architecture for structured and unstructured use cases around machine learning, reporting, and analytics \n\n* Design and co-build with Cloud and DevOps the infrastructure and operations required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, python, and AWS cloud technologies\n\n* Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense\n\n* Analyze and evaluate existing solutions and make decisions on whether to extend or refactor as needed with a major focus on improving our pipeline and reporting performance\n\n* Work with the CTO and department stakeholders to properly plan short and long-term goals, and define and execute a technical roadmap that continues to evolve LeafLink’s data capabilities and functionality to meet the needs of our Business and Product Vision.\n\n* Work collaboratively with multiple cross-functional agile teams to help deliver end-to-end products and features enabled by our data pipeline, seeing them through from conception to delivery\n\n* Help define, document, evolve, and evangelize high engineering standards, best practices, tenants, and data management & governance across data and analytics engineering\n\n* Move quickly and intelligently - seeing technical debt as your nemesis and eliminating risk\n\n* Effectively communicate the complexity of your work to technical and non-technical audiences through non-written and written mediums\n\n* Design, develop, and test data models in our data warehouse that enable data and analytics processes\n\n* Help define and build our enterprise data catalog and dictionary \n\n* Troubleshoot, diagnose and address data quality issues quickly and effectively while implementing solutions to combat this at scale, including improved quality controls and observability and monitoring\n\n* Provide mentorship and growth to our BE and Data engineers while creating repeatable and scalable solutions and patterns\n\n\n\nWhat You’ll Bring to the Team \n\n\n* Minimum of 10 years experience in a professional working environment on a data or engineering team\n\n* Advanced working SQL knowledge and experience working with relational and non-relational databases, query authoring (SQL) as well as working familiarity with a variety of data stores\n\n* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.\n\n* Expertise writing Python processing jobs to ingest a variety of structured and unstructured data received from various sources & formats such as Rest APIs, Flat Files, and Logs with the ability to support and scale to both smaller and larger dataset ingestions \n\n* They should also have experience using the following software/tools:\n\n\n\n* Experience with object-oriented/object function scripting in Python and data processing libraries such as requests, pandas, sqlalchemy\n\n* Experience with relational SQL and NoSQL databases, such as Redshift or comparable cloud-based OLAP databases such as Snowflake\n\n* Experience with data pipeline and workflow management tools: Airflow\n\n* Experience with AWS cloud services\n\n* Hands-on experience with technologies such as Dynamo, Terraform, Kubernetes, Fivetran, and dbt is a strong plus\n\n* Experience with designing and implementing machine learning enablement tools and infrastructure\n\n* Experience leveraging API-based LLM models, dynamic prompt generation, fine-tuning\n\n\n\n* Comfortable working in a fast-paced growth business with many collaborators and quickly evolving business needs\n\n* Individual contributor leadership to our data and analytics engineers and specialization on our current Platform Engineering team around data enterprise architecture and best practices\n\n* Consistency and standards to how we visualize and use our enterprise data at LeafLink through helping us define our first Data Dictionary and Catalog \n\n\n\nLeafLink Perks & Benefits\n\n\n* Flexible PTO - you’re going to be working hard so enjoy time off with no cap!\n\n* A robust stock option plan to give our employees a direct stake in LeafLink’s success\n\n* 5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community\n\n* Competitive compensation and 401k match\n\n* Comprehensive health coverage (medical, dental, vision)\n\n* Commuter Benefits through our Flexible Spending Account\n\n\n\n\nLeafLink’s employee-centric culture has earned us a coveted spot on BuiltInNYC’s Best Places to Work for in 2021 list. Learn more about LeafLink’s history and the path to our First Billion in Wholesale Cannabis Orders here. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, NoSQL and Engineer jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Join us as a (Senior) Data Engineer (m/f/d) in our Fleet Analytics team on a shared journey that matters! \n\nMOIA is bringing fleets of autonomous vehicles onto the streets of Europe over the next few years. To achieve this, a holistic understanding of our complex fleet operations is essential. This is what our interdisciplinary team of analysts, data scientists and data engineers work on every day. We share a common passion about using data to create tooling that allows internal analysts and fleet operators to analyze and monitor fleet operation processes. We also build the foundational infrastructure and datasets around that tooling. By processing a diverse range of data, including vehicle telemetry, geospatial information, and operational metrics, we lay the foundational work for self-service tools, traceability and in-depth analysis. \nWhat you will do\n\n\nYou will play a pivotal role in shaping our analytics data infrastructure, enabling the development of customer-facing data products and driving analytical insights\n\n\n\n\n\nLeverage cloud infrastructure to create data models accessible via our web platform, where entire vehicle fleets are monitored and managed\n\n\n\n\n\nCollaborate closely with team members during pair-programming and feedback sessions, promoting knowledge sharing and professional growth\n\n\n\n\n\nCollaborate with data producing teams to ensure data quality and data consuming teams to build great data products\n\n\n\nWhat will help you to fulfill your role \n\n\nExtensive experience in the field of data, particularly as a data engineer or software engineer with a focus on data engineering \n\n\n\n\n\nExperience with building and orchestrating data pipelines (e.g., Airflow, dbt) \n\n\n\n\n\nExperience in Python (or similar language) and SQL \n\n\n\n\n\nYou know your way around developing and deploying cloud infrastructure and services (e.g., with AWS CDK or Terraform) \n\n\n\n\n\nProficiency with CI/CD (e.g., Github actions), Monitoring (e.g., Cloudwatch, Grafana) and Alerting \n\n\n\n\n\nEffective communication skills in English \n\n\n\n\nNice to have: \n\n\nExperience with dbt (data build tool) \n\n\n\n\n\nExperience with AWS \n\n\n\n\n\nExperience with Pandas & Jupyter Notebooks \n\n\n\n\n\nExperience in designing and building (data) APIs \n\n\n\nWe encourage you to apply even if your profile does not meet all the requirements for the role since we are looking for a diverse range of experiences, skills, and interests. We are certain that there will be something for everyone because we are working on such a variety of tasks and embrace individual growth at MOIA.\nIn case you have questions regarding your application, you can approach the recruiter Dennis directly. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Recruiter, Cloud and Engineer jobs that are similar:\n\n
$45,000 — $90,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBerlin, Berlin, Germany
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nXilis, Inc. is an innovation-driven biotech company developing its proprietary MicroOrganoSphere (“MOS”) Technology for functional precision oncology. Xilis’ MOS Technology enables rapid and scalable generation of patient tumor models that retain patient-specific tumor biology and tumor microenvironment, representing one of the most translationally-relevant ex vivo technologies for precision oncology drug discovery and development. Located in Research Triangle Park, Durham, NC, Xilis is building a functional precision medicine platform that incorporates scaled multi-modal profiling of therapeutic activity and AI/ML-enabled analytics to catalyze functional precision medicine drug discovery, development and diagnostics. Collectively, Xilis aims to harness its MOS Platform to enable development of the most effective therapeutics and guide them to the right patients at the right time.\n\n\nAs a Senior Automation Engineer, you will be responsible for designing, developing, and implementing innovative automated solutions to support our dynamic research environment. Your expertise in liquid handling automation, specifically with Hamilton liquid handlers, will be instrumental in enabling rapid experimentation and process optimization. You will collaborate closely with scientists and software engineers to identify automation opportunities, develop flexible methodologies, and integrate automation into our evolving platform.\n\n\n\nResponsibilities\n* Automation Development: Design, develop, and optimize flexible automated workflows for sample preparation, assay execution, and data analysis using Hamilton liquid handlers and other laboratory automation equipment.\n* Method Development: Create and validate adaptable Hamilton liquid handling methods to support a wide range of experimental conditions and evolving assay protocols.\n* Software Development: Develop custom software applications using C# or Python to control instruments, manage data, and integrate with our existing platform, emphasizing flexibility and adaptability.\n* Instrument Integration: Integrate various laboratory instruments, such as high content imagers, flow cytometers, and PCR systems, into automated workflows, ensuring seamless operation and data transfer.\n* Process Optimization: Continuously analyze and improve laboratory processes to increase efficiency, reduce errors, and enhance data quality while maintaining experimental flexibility.\n* Collaboration: Work closely with scientists, engineers, and other stakeholders to understand evolving research needs and translate them into innovative automation solutions.\n\n\n\nRequirements\n* Bachelor's or Master's degree in Engineering, Biochemistry, or a related field.\n* Minimum of 5 years of hands-on experience in laboratory automation, with a strong focus on liquid handling automation.\n* In-depth knowledge of Hamilton liquid handlers and proficiency in Venus software programming.\n* Strong programming skills in C# or Python for developing custom software applications.\n* Experience with a variety of laboratory instruments and techniques, including high content imaging, flow cytometry, PCR, and cell culture.\n* Demonstrated ability to design, develop, and implement flexible automated workflows.\n* Excellent problem-solving and troubleshooting skills.\n* Strong attention to detail and ability to work independently.\n* Excellent communication and interpersonal skills.\n\n\n\nPreferred Qualifications\n* Experience with LIMS, database management (e.g., PostgreSQL), and cloud platforms (e.g., AWS).\n* Knowledge of regulatory requirements for laboratory automation in the life sciences industry.\n\n\n\n\n\nIf you are a passionate and innovative automation engineer eager to contribute to groundbreaking cancer research through flexible automation solutions, we encourage you to apply.\n\n\nXilis was created when its three founders — an engineer, a physician, and a biologist — decided to come together and commercialize their technology to transform cancer care. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Furthermore, even if your work experience isn't perfectly aligned with what we've described above, if you're excited about what we're building then we want to talk to you!\nXilis offers comprehensive health, vision, dental & retirement plans, and unlimited PTO. We are a remote-friendly team: our headquarters are in Durham, North Carolina, but we have team members across the US (and beyond!). \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, Senior and Engineer jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDurham, NC
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nWho we are:\n\nRaft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.\nWe’re looking for an experienced DevSecOps Engineer to support our customers and join our passionate team of high-impact problem solvers.\n\nAbout the role: \n\nAs a DevSecOps Engineer, you are responsible for actively developing and implementing end-to-end cluster and application lifecycles, ensuring processes are both secure and efficient. Collaborate with clients, designing and implementing Kubernetes or Docker solutions. Take part in building CI/CD pipelines, ensuring a smooth software update process. Furthermore, actively participate in the application of GitOps principles for software delivery.\n\nWhat we are looking for:\n\n\n3+ years of Python software development experience\n\n3+ years of Bash scripting experience\n\n3+ years of Linux System Administration experience\n\n3+ years of hands-on experience with Kubernetes or Docker, provisioning production clusters and maintaining their compliance\n\n3+ years of automated DevOps (ex. Building pipelines) or cloud infrastructure (ex. AWS, Azure) experience\n\n3+ years of automating builds for Docker or OCI containers\n\nSkilled in building Gitlab CICD pipeline templates and jobs\n\nAbility to implement and improve development and security best practices by building necessary CICD pipeline jobs (linting, SCA, SAST, vulnerability scanning)\n\nFamiliarity with cosign for signing and verifying container images and attestations\n\nExperienced in developing, troubleshooting, maintaining build automation for applications and images, and developing end-to-end application testing\n\nProven background in software systems development via CI/CD pipelines (Gitlab Pipelines)\n\nExposure to Agile, DevOps, and DevSecOps methodologies, practices, and culture\n\nStrong knowledge of version control systems like Gitlab, with the ability to maintain/operate Gitlab in the cloud or on-premises\n\nProblem-solving aptitude\n\nExpertise in designing and implementing enterprise-grade, scalable cloud-based services to support our development teams\n\nFamiliarity with GitOps tools, i.e., FluxCD, ArgoCD\n\nKnowledge of Log Management and Analytics tools such as PLG/Splunk/ELK\n\nBackground in building, deployment, release automation, or orchestration\n\nProficiency in writing Unit/Integration/e2e testing (e.g., Junit, Cypress, Selenium)\n\nSkilled in Infrastructure as Code (e.g., Terraform, Ansible, etc.)\n\nObtain Security+ within the first 90 days of employment with Raft\n\n\n\n\nHighly preferred: \n\n\n2+ years of experience with Spring Boot (Java development), in particular the Spring Cloud Gateway library.\n\nProficiency in building CLI applications in Python\n\nSkilled in working with file scanning applications (e.g., virus scanning tools)\n\nExperience using FastAPI to develop web applications in Python\n\nExpertise in implementing Sigstore and Cosign to sign container images as well as SBOMs\n\nSkilled in hardening application containers\n\nProven background with Istio service mesh\n\nBackground in defensive or offensive cyber capability development\n\nPassionate about automation, system efficiency, and security\n\n\n\n\nClearance Requirements:\n\n\nActive Top Secret security clearance with SCI Eligibility\n\n\n\n\nWork Type: \n\n\nRemote (Local to San Antonio, TX)\n\nMay require up to 10% travel\n\n\n\n\nSalary Range:\n\n\n$90,000 - $170,000\n\nThe determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities\n\n\n\n\nWhat we will offer you: \n\n\nHighly competitive salary\n\nFully covered healthcare, dental, and vision coverage\n\n401(k) and company match\n\nTake as you need PTO + 11 paid holidays\n\nEducation & training benefits\n\nAnnual budget for your tech/gadgets needs\n\nMonthly box of yummy snacks to eat while doing meaningful work\n\nRemote, hybrid, and flexible work options\n\nTeam off-site in fun places!\n\nGenerous Referral Bonuses\n\nAnd More!\n\n\n\n\nOur Vision Statement: \n\nWe bridge the gap between humans and data through radical transparency and our obsession with the mission. \n\nOur Customer Obsession: \n\nWe will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.\n\nHow do we get there? \n\nPublic-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. \n\nRaft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, DevOps, Cloud and Engineer jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Antonio, Texas, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout You\n\n\nWe are seeking a skilled Analytics Engineer to join our dynamic Data Team. The ideal candidate will have a comprehensive understanding of the data lifecycle from ingestion to consumption, with a particular focus on data modeling. This role will support various business domains, predominantly Finance, by organizing and structuring data to support robust analytics and reporting.\n\n\nThis role will be part of a highly collaborative team made up of US and Brazil-based Teachable and Hotmart employees.\n\n\nWhat You’ll Do\n\n\n* Data Ingestion to Consumption: Manage the flow of data from ingestion to final consumption. Organize data, understand modern data structures and file types, and ensure proper storage in data lakes and data warehouses.\n\n* Data Modeling: Develop and maintain entity-relationship models. Relate business and calculation rules to data models to ensure data integrity and relevance.\n\n* Pipeline Implementation: Design and implement data pipelines using preferrable SQL or Python to ensure efficient data processing and transformation.\n\n* Reporting Support: Collaborate with business analysts and other stakeholders to understand reporting needs and ensure that data structures support these requirements.\n\n* Documentation: Maintain thorough documentation of data models, data flows, and data transformation processes.\n\n* Collaboration: Work closely with other members of the Data Team and cross-functional teams to support various data-related projects.\n\n* Quality Assurance: Implement and monitor data quality checks to ensure accuracy and reliability of data.\n\n* Cloud Technologies: While the focus is on data modeling, familiarity with cloud technologies and platforms (e.g., AWS) is a plus.\n\n\n\n\n\nWhat You’ll Bring\n\n\n* 3+ years of experience working within data engineering, analytics engineering and/or similar functions.\n\n* Experience collaborating with business stakeholders to build and support data projects.\n\n* Experience with database languages, indexing, and partitioning to handle large volumes of data and create optimized queries and databases.\n\n* Experience in file manipulation and organization, such as Parquet.\n\n* Experience with the "ETL/ELT as code" approach for building Data Marts and Data Warehouses.\n\n* Experience with cloud infrastructure and knowledge of solutions like Athena, Redshift Spectrum, and SageMaker.\n\n* Experience with Apache Airflow for creating DAGs and various purposes.\n\n* Critical thinking for evaluating contexts and making decisions about delivery formats that meet the company’s needs (e.g., materialized views, etc.).\n\n* Knowledge in development languages, preferably Python or Spark.\n\n* Knowledge in SQL.\n\n* Knowledge of S3, Redshift, and PostgreSQL.\n\n* Experience in developing highly complex historical transformations. Utilization of events is a plus.\n\n* Experience with ETL orchestration and updates.\n\n* Experience with error and inconsistency alerts, including detailed root cause analysis, correction, and improvement proposals.\n\n* Experience with documentation and process creation.\n\n* Knowledge of data pipeline and LakeHouse technologies is a plus.\n\n\n\n\n\nWhat You’ll Bring \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud and Engineer jobs that are similar:\n\n
$62,500 — $117,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSão Paulo, São Paulo, Brazil
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nThreeFlow is looking for teammates who are naturally curious and love to ask questions, even when it means questioning industry standards. We cultivate an inclusive culture where everyone can contribute, grow, and feel valued.\n\nAs part of our post-Series C growth, we’re excited to add an AI Engineer to our data analytics engineering team of seven. As an AI Engineer at ThreeFlow, you will collaborate with a dedicated team of engineers and product leaders to revolutionize the insurance industry through innovative AI applications and our proprietary data set. \n\nThis position reports to the Director of Data & AI and is based remotely within the US. Candidates must be available to work EST hours.\nOur tech stack\n\n\n* \n\nAWS Lambda, Step Functions, Bedrock, EC2, S3, Docker\n\n\n* \n\nPython, R, Mlflow\n\n\n* \n\nPostgreSQL, dbt, BigQuery, Looker, Stitch\n\n\n\n\nAbout the role\n\n\n* \n\nHelp develop and deploy enterprise-scale LLM and ML solutions to optimize core business processes\n\n\n* \n\nPrimarily develop, test, deploy, and monitor serverless applications (e.g., AWS Lambda) to support various data processing and analytics tasks\n\n\n* \n\nLeverage orchestration tools (e.g., AWS Step Functions) to coordinate complex workflows and integrate multiple services\n\n\n* \n\nCollaborate with cross-functional teams to design and help implement scalable AI models and solutions\n\n\n* \n\nContinuously monitor and optimize AI models to improve performance and accuracy\n\n\n\n\nAbout you\n\n\n* \n\nExtensive experience in Python development, with a focus on productionalizing LLM and machine learning applications\n\n\n* \n\nStrong expertise in developing and deploying LLM solutions\n\n\n* \n\nIn-depth knowledge of various machine learning techniques and their real-world applications\n\n\n* \n\nProficiency in AWS services, especially Lambda and Step Functions; experience with deploying them via IaC\n\n\n* \n\nStrong understanding of CI/CD pipelines and best practices in software development\n\n\n* \n\nExcellent written and verbal communication skills for effective cross-team collaboration in a fully remote environment\n\n\n* \n\nExperience evaluating model performance is a plus\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Engineer jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nChicago, Illinois, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout the role: \n\nAs a Senior Analytics Engineer at dbt Labs, you will be part of a team building the foundation to scale analytics across our Go-To-Market (GTM) and Product teams. You will collaborate with key stakeholders to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.\n\nThis is a critical role for the organization and requires an individual with effective communication skills, outstanding business acumen, and the ability to work across various functional teams and internal partner teams. We are looking for individuals who are self-starters comfortable with ambiguity, demonstrate strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment.\nIn this role, you can expect to:\n\n\n* Understand the data needs of GTM and Product teams in terms of key data models and reporting, and translate that into technical requirements.\n\n* Own our dbt instance, defining and maintaining key data pipelines and charts that power core company-wide metrics.\n\n* Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data.\n\n* Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.\n\n* Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.\n\n* Build foundational data products and tools to enable self-serve analytics to scale across the company.\n\n* Influence the future roadmap of Product and GTM teams from a data systems perspective.\n\n* Become an expert in our GTM and Product data models and the company's data architecture.\n\n\n\nYou are a good fit if you have:\n\n\n* Worked asynchronously as part of a fully-remote, distributed team.\n\n* Excellent communication skills to convey complex technical concepts to non-technical stakeholders.\n\n* Have 4+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.\n\n* Expertise in SQL and Python to transform data into accurate, clean data models.\n\n* Expertise in building multi-step ETL jobs through tooling like dbt and orchestrated through workflow management platforms like Prefect.\n\n* Experience building data reporting and dashboarding in visualization tools to serve multiple cross-functional teams.\n\n* A bias for action and urgency, not letting perfect be the enemy of the effective.\n\n* A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even it it requires going outside the original job description.\n\n\n\nYou'll have an edge if you have:\n\n\n* Experience developing and scaling a dbt project while leveraging engineering best practices (e.g. data quality tests, unit tests, etc).\n\n* Have experience at a SaaS company\n\n\n\n\nCompensation & Benefits\n\n\n* Salary: Commensurate based on experience\n\n* Benefits: For employees outside the United States, dbt Labs offers a competitive benefits package\n\n\n\nWhat to expect in the hiring process (all video interviews unless accommodations are needed):\n\n* Interview with Talent Acquisition Partner\n\n* Interview with Hiring Manager\n\n* Team Interviews\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to SaaS, Python, Video, Senior and Engineer jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nPlotly is a leading innovator in data visualization and analytics, specializing in empowering organizations to make data-driven decisions. Our flagship product, Dash Enterprise, is revolutionizing the way businesses interact with and harness their data. We are currently seeking a highly skilled and motivated Software Development Engineer to join our App Studio team and contribute to the conversion of Jupyter notebook-based applications into efficient and interactive Dash applications.\n\n \n\n\n \n\nAs a Staff level Software Engineer on the App Studio team, you will be responsible for building new innovative products that enable data scientists and data analysts to be more productive, and create + publish data applications. You will act as a technical and thought leader for our web based products and tools, bringing a wide range of experience that includes building complex user facing web based applications. We are looking for someone who has built world class user interfaces and/or high performance data visualization software. \n\nThe technologies you will be working with include but may not be limited to: \n\n\n* Python \n\n* JavaScript/TypeScript\n\n* React\n\n* You will work with a wide range of unconventional and exciting technologies such as Abstract Syntax Tree (AST), Jupyter kernels, high performance data manipulation, and LLMs.\n\n\n\nCore job responsibilities:\n\n\n* Act as the technical lead for a range of web based products and tools\n\n* Assist in building a world class user interface for our new and exciting products including App Studio\n\n* Advise on architectural decision making for new and existing products, including App Studio\n\n* Collaborate closely with UX/UI designers, product managers, and other software engineers to ensure a cohesive and user-friendly experience.\n\n* Own seamless integration of new features/products in Dash Enterprise platform\n\n* Stay up-to-date with industry trends and emerging technologies, continuously seeking opportunities to enhance our platform.\n\n\n\nJob requirements:\n\n\n* Bachelor's degree in Computer Science, Engineering, or a related field\n\n* 8+ years proven experience as a Full Stack Engineer, with expertise in Python, JavaScript, TypeScript, and React.\n\n* Demonstrable track record of success in a technical engineering role, including clear demonstration of contribution and delivery in a product-centric environment of user facing applications.\n\n* A passion for building user-facing software in the data viz and analytics space\n\n* Familiarity with data visualization libraries and concepts. \n\n* Ability to work efficiently and effectively in a Remote-first environment.\n\n* Strong communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders.\n\n* Strong problem-solving skills and the ability to work effectively in a collaborative team environment.\n\n* Dedication to writing clean, maintainable, and efficient code.\n\n* Desire and ability to work in a fast paced dynamic environment, learn new technologies and platforms, and be comfortable with troubleshooting complex technical issues.\n\n\n\nAssets:\n\n\n* Experience with computational notebooks like Jupyter, RMarkdown, Observable.\n\n* Experience building tools within the Python data stack like Pandas, Databricks, matplotlib, scipy\n\n* Experience with GraphQL, NestJS, Kubernetes, CI/Github Actions, Docker.\n\n* Experience with automated code generation and transformation using the Abstract Syntax Tree (AST).\n\n\n\n\n \n\nDon’t meet all the requirements, but you feel you would be a great fit to our plot-legion? Don’t hesitate to apply!\n\n \n\n\n \nWhat you can expect from us:\n\n\n\nHealth & Wellbeing\n\n\n* Comprehensive health coverage\n\n* Generous PTO \n\n* Parental leave top-up program\n\n\n\n\n\n\nGrowth & Future\n\n\n* Stock options for all full-time employees\n\n* Learning & development program\n\n* Work alongside a dedicated team \n\n\n\n\n\n\nFlexibility & Community\n\n\n* Remote-first work\n\n* Home office support\n\n* Employee led DE&I resource group\n\n* Plotly Community Forum\n\n\n\n\n\n\n\n\nWhy Plotly?\n\nUnleash your creativity and shape the future of data analytics! \n\nFounded by innovators and driven by our community of users and customers, we eagerly tackle every challenge, from crafting state-of-the-art UI for seamless data interaction to optimizing our graphing libraries and services for highly reliable performance. Our journey has only begun! \n\nWe are a tight-knit and quickly growing team where each member can make an immediate, meaningful impact. We take on complex problems, work hard, and are firm believers in the open-source mission. At Plotly, you'll work alongside a diverse team of first-class engineers, developers, scientists, and builders that challenge the status quo and set a high bar. We encourage each member of our team to explore and expand their skill sets continually, and to approach every problem with curiosity and an open mind. Together, we make it possible for people everywhere to share data and insights that make real impacts in business and around the world.\n\nPlotly is an equal-opportunity employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. If you require any accommodations, please let us know during the application process. \n\n\n\n \n\nIngénieur logiciel en chef, Full stack\n\nPlotly est un innovateur de premier plan dans le domaine de la visualisation des données et de l'analyse, spécialisé dans l'autonomisation des organisations pour prendre des décisions fondées sur les données.Notre produit phare, Dash Enterprise, révolutionne la façon dont les entreprises interagissent avec leurs données et les exploitent. Nous recherchons actuellement un ingénieur en développement logiciel hautement qualifié et motivé pour rejoindre notre équipe App Studio et contribuer à la conversion des applications basées sur les notebooks Jupyter en applications Dash efficaces et interactives.\n\n \n\n\n \n\nEn tant qu'ingénieur logiciel au sein de l'équipe App Studio, vous serez responsable de la création de nouveaux produits innovants qui permettent aux scientifiques et analystes de données d'être plus productifs, et de créer et publier des applications de données. Vous agirez en tant que leader technique et intellectuel pour nos produits et outils basés sur le web, en apportant un large éventail d'expérience qui comprend la construction d'applications web complexes orientées vers l'utilisateur. Nous recherchons quelqu'un qui a construit des interfaces utilisateurs de classe mondiale et/ou des logiciels de visualisation de données de haute performance. \n\nLes technologies avec lesquelles vous travaillerez sont notamment les suivantes:\n\n\n* Python \n\n* JavaScript/TypeScript\n\n* React\n\n* Vous travaillerez avec un large éventail de technologies non conventionnelles et passionnantes telles que l'arbre syntaxique abstrait (AST), les noyaux Jupyter, la manipulation de données à haute performance et les LLM.\n\n\n\nPrincipales responsabilités:\n\n\n* Assurer la direction technique d'une série de produits et d'outils basés sur le web.\n\n* participer à l'élaboration d'une interface utilisateur de classe mondiale pour nos produits nouveaux et passionnants, y compris l'App Studio\n\n* Conseiller sur la prise de décision architecturale pour les produits nouveaux et existants, y compris App Studio\n\n* Collaborer étroitement avec les concepteurs UX/UI, les gestionnaires de produits et d'autres ingénieurs logiciels pour assurer une expérience cohérente et conviviale.\n\n* Assurer l'intégration transparente des nouvelles fonctionnalités/produits dans la plateforme Dash Enterprise.\n\n* Rester au courant des tendances de l'industrie et des technologies émergentes, en recherchant continuellement des opportunités pour améliorer notre plateforme.\n\n\n\nExigences du poste:\n\n\n* Baccalauréat en informatique, en ingénierie ou dans un domaine connexe.\n\n* 8+ années d'expérience prouvée en tant qu'ingénieur Full Stack, avec une expertise en Python, JavaScript, TypeScript, et React.\n\n* L'expérience démontrable de succès dans un rôle d'ingénierie technique, y compris la démonstration claire de la contribution et de la livraison dans un environnement centré sur le produit des applications face à l'utilisateur.\n\n* Une passion pour la construction de logiciels orientés utilisateurs dans le domaine de la visualisation de données et de l'espace analytique.\n\n* Familiarité avec les bibliothèques et les concepts de visualisation de données. \n\n* Capacité à travailler efficacement dans un environnement où la priorité est donnée au travail à distance.\n\n* De solides compétences en communication et en relations interpersonnelles avec la capacité d'expliquer des concepts techniques complexes à des parties prenantes non techniques.\n\n* Solides compétences en matière de résolution de problèmes et capacité à travailler efficacement dans un environnement d'équipe collaboratif.\n\n* Détermination à écrire un code propre, maintenable et efficace.\n\n* Désir et capacité de travailler dans un environnement dynamique en évolution rapide, d'apprendre de nouvelles technologies et plates-formes, et d'être à l'aise pour résoudre des problèmes techniques complexes.\n\n\n\nAtouts:\n\n\n* Expérience avec des carnets de calcul comme Jupyter, RMarkdown, Observable.\n\n* Expérience de la construction d'outils dans la pile de données Python comme Pandas, Databricks, matplotlib, scipy.\n\n* Expérience avec GraphQL, NestJS, Kubernetes, CI/Github Actions, Docker.\n\n* Expérience de la génération et de la transformation automatisée de code à l'aide de l'arbre syntaxique abstrait (AST).\n\n\n\n\nVous ne répondez pas à toutes les exigences, mais vous pensez que vous seriez un bon candidat ? N'hésitez pas à poser votre candidature!\n\n \n\n\n \nCe que vous pouvez attendre de nous:\n\n\n\nSanté et bien-être\n\n\n* Couverture santé complète \n\n* Temps libre rémunéré généreux et horaires de travail flexibles \n\n* Programme de complément de congé parental\n\n\n\n\n\n\nCroissance et avenir\n\n\n* Options d'achat d'actions pour tous les employés à temps plein \n\n* Programme d'apprentissage et de développement \n\n* Travailler avec une équipe dévouée\n\n\n\n\n\n\nFlexibilité et communauté\n\n\n* Entièrement à distance \n\n* Soutien au bureau à domicile \n\n* Groupe de ED&I dirigé par les employés \n\n* Forum de la communauté Plotly\n\n\n\n\n\n\n\n\nPourquoi Plotly?\n\nLibérez votre créativité et façonnez l'avenir de l'analyse des données! \n\nFondé par des innovateurs et guidé par notre communauté d'utilisateurs et de clients, nous sommes impatients de relever chaque défi, de la conception d'une interface utilisateur pour une interaction transparente avec les données à l'optimisation de nos bibliothèques de graphiques et de nos services pour une performance hautement fiable. Notre voyage ne fait que commencer ! \n\nNous sommes une équipe soudée et en pleine croissance où chaque membre peut avoir un impact immédiat et significatif. Nous nous attaquons à des problèmes complexes, nous travaillons dur et nous croyons fermement en la mission de l'open-source. Chez Plotly, vous travaillerez aux côtés d'une équipe diversifiée d'ingénieurs, de développeurs, de scientifiques et de créateurs de premier ordre qui remettent en question le statu quo et placent la barre très haut. Nous encourageons chaque membre de notre équipe à explorer et à élargir continuellement ses compétences, et à aborder chaque problème avec curiosité et ouverture d'esprit. Ensemble, nous rendons possible le partage de données et d'informations qui ont un impact réel sur les entreprises et le monde entier.\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python and Engineer jobs that are similar:\n\n
$60,000 — $105,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nOver the past year we have built a next-generation multi-cell architecture and we are looking for a Senior Software Engineer ll to join the team and help add capabilities and migrate customers to the new deployments.\n\nThe cell-based architecture is a large-scale, worldwide distributed system, and this team has an outsize impact on every customer of dbt Labs. Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. The quality, reliability, and performance our multi-cell implementation equates to leverage for analysts, analytics engineers, and data engineers in organizations of all shapes and sizes.\nIn this role, you can expect to:\n\n\n* Build cell-based application architecture that reliably and performantly delivers dbt Cloud to customers worldwide. You will work on a variety of technologies and features including our regional service layer, enabling self-service accounts across regions, cell migrations and product security.\n\n* Collaborate with multiple engineering teams, Product Management, Security, and Customer Support.\n\n* Work with a variety of programming languages, systems, and technologies, including: Golang, Python, Postgres, Kubernetes, Terraform, Auth0, and Datadog.\n\n* Drive scaling and automation initiatives.\n\n* Define tradeoffs and make decisions about what, how, and when we build. We are a fast-moving startup and building the right platform at the place where application and infrastructure meet unlocks reliability, quality, and productivity for the long term.\n\n\n\nQualifications:\n\n\n* Have 7+ years experience in software engineering, including production experience supporting SaaS applications.\n\n* Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR\n\n* Completed enrollment in engineering related bootcamp.\n\n\n\nYou are a good fit if you:\n\n\n* Have implemented large-scale distributed systems and have a deep interest in application performance, scalability, reliability, and operability.\n\n* Have designed and built cloud applications that include containerized workloads, Python or Golang, and at least some of our technology stack. You don’t need to be experienced with every technology we use today.\n\n* Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.\n\n* Ensure high programming standards in your team by writing unit, functional, and integration tests and participating in timely, constructive code review.\n\n* Comfortable operating in fast paced environment the emphasizes making small changes to rapidly iterate, learn and deliver.\n\n* You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem.\n\n\n\nYou'll have an edge if you:\n\n\n* Have excellent written communication skills. We are a remote-first company that uses writing to facilitate decision-making.\n\n* Have experience with technical leadership.\n\n\n\nCompensation and Benefits:\n\n\n* Salary: $180,000-$235,000 USD\n\n* Equity Stake*\n\n* Benefits - dbt Labs offers:\n\n\n* Unlimited vacation (and yes we use it!)\n\n* 401k w/3% guaranteed contribution\n\n* Excellent healthcare\n\n* Paid Parental Leave\n\n* Wellness stipend\n\n* Home office stipend, and more!\n\n\n\n\n\n\n\n\nWhat to expect in the hiring process (all video interviews unless accommodations are needed):\n\n\n* Interview with a Talent Acquisition Partner \n\n* Technical Interview with Hiring Manager\n\n* Team Interviews \n\n* Final interview with leadership team member\n\n\n\n\n#LI-RC1\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to SaaS, Python, Cloud, Senior and Engineer jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nWant to help us, help others? We’re hiring!\n\nGoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes — for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.\n\nJoin us! The GoFundMe team is searching for our next Senior Staff ML Engineer to help design and implement our next generation of machine learning and AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.\n\nThe Job…\n\n\n* Design and develop advanced machine learning models, model evaluation systems, and automated model training and deployment solutions.\n\n* Design and develop high throughput batch inferencing solutions as well as distributed, low latency real-time inferencing services.\n\n* Build efficient and robust systems to collect and prepare data for evaluation and model training.\n\n* Conduct research to identify, evaluate, and build features that improve model performance.\n\n* Evaluate and recommend opportunities to leverage data to grow the business and delight customers. \n\n* Collaborate with technical and nontechnical colleagues, including data scientists, engineers, product managers, and business stakeholders to drive the successful implementation of machine learning projects.\n\n* Coach and mentor other ML engineers and contribute to our culture of learning, innovation, and operational excellence.\n\n\n\n\nYou…\n\n\n* 9+ years of hands-on experience in machine learning, data science, and analytics with a consistent track record of successfully leading complex projects and deploying robust solutions into production environments.\n\n* Extensive knowledge of ML algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries (Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face Transformers, Tensorflow or PyTorch).\n\n* Experience with LLMs, preferably including commercial solutions such as OpenAI API, Anthropic, AWS Bedrock, or open source models and frameworks like Hugging Face, LangChain, Llama-2, Falcon, Dolly, etc.\n\n* Demonstrated ability to mentor ML engineers, fostering a collaborative and high-performing environment.\n\n* Strong analytical and problem-solving skills, with the ability to apply creative solutions to real-world challenges.\n\n* Comfortable experimenting with and incorporating cutting-edge techniques into our existing system.\n\n* Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.\n\n* A Masters or Ph. D in Computer Science, Statistics, Data Science or related field is preferred.\n\n* Sense of humor (optional but appreciated).\n\n\n\n\nWhy you’ll love it here...\n\n\nMarket competitive pay\n\nRich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. \n\n401(k) retirement plan with company matching\n\nHybrid workplace with fully remote flexibility for many roles\n\nMonetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses\n\nA variety of mental and wellness programs to support employees \n\nGenerous paid parental leave and family planning stipend\n\nSupportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday\n\nLearning & development and recognition programs\n\nGives Back Program where employees can nominate a fundraiser every week for a donation from the company\n\nInclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.\n\nEmployee resource groups\n\nYour work has a real purpose and will help change lives on a global scale.\n\nYou’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. \n\nWe live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose\n\nWe are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!\n\n\n\n\nGoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.\n\nThe total annual salary for this full-time position is $175,000- $240,000 + equity + benefits. As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.\n \n\nIf you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected].\n\nDedication to Diversity \n\nGoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers.\n\nOur diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow.\n\nGlobal Data Privacy Notice for Job Candidates and Applicants:\n\nDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. \n\nLearn more about GoFundMe:\n\nWe’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘23 annual report.\n\nOur annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.\n\nFor recent company news and announcements, visit our Newsroom. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, Python, Recruiter, Senior and Engineer jobs that are similar:\n\n
$60,000 — $112,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nSurveyMonkey is a global leader in online surveys and forms that empowers people with the insights they need to make decisions with speed and confidence. Our fast, intuitive feedback management platform connects millions of users worldwide with real-time AI-powered insights that drive meaningful decisions. We provide answers to more than 20 million questions every day so that people and organizations can attract new audiences, delight customers, create advocates, and extend their competitive advantage in the marketplace. Our vision is to raise the bar for human experiences by amplifying individual voices. Learn more at surveymonkey.com.\n\nWhat we’re looking for\n\nWe are looking for a seasoned Staff Data Engineer with amazing problem-solving abilities and a growth mindset to join a team of highly skilled data engineers and data architects to build and manage the end-to-end data pipelines (batch and near real-time) using modern cloud technologies. This is a role in the central data organization at SurveyMonkey that provides actionable insights to all key business functions of the organization\n\nAs a Staff Data Engineer, you will lead data engineering initiatives and build end-to-end Analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You will be reporting to the Director of Data Engineering\n\nWhat you’ll be working on\n\n\nDesign, architect and build data pipelines to support existing data models \n\nManage the Data Infrastructure & Platform\n\nData quality: Build quality checks in the end-to-end data pipelines\n\nDesign & Build new Data models (Fact vs Dimension). Write performant/idempotent transformations in Snowflake using dbt \n\nBuild data pipeline using Python scripting (in a modular/loop context) Write well-tested, production-ready code in Python and Snowflake SQL\n\nHands-on experience implementing ETL (or ELT) best practices \n\nTranslate business requirements, to technical specifications, form project scope, and deliver deployable code.\n\nWrite complex data engineering Snowflake - SQL jobs that perform sophisticated queries on the entirety of our datasets\n\nDocument our systems for internal and external stakeholders\n\nMonitor and debug data pipelines running on Airflow\n\nParticipate in code reviews\n\nMentor data engineers on best practices and coding standards\n\nLead and collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.\n\nIdentifying opportunities for process improvements, automation, and optimization of data pipelines. \n\nImplementing innovative solutions and exploring new technologies to address complex data challenges\n\n\n\n\nWe’d love to hear from people with\n\n\n8+ years experience in data engineering and Data warehousing technologies\n\n4+ years experience in Snowflake/ETL/ELT or similar technologies like Redshift\n\nExperience building and scaling a Data Platform.\n\nExperience doing Proof of concept for new solutions and technologies \n\nExperience with AWS cloud services: S3, EC2, RDS, Spark, EMR etc\n\nExperience with object-oriented/object function scripting languages: Python (preferred), Java, Scala, etc.\n\nExperience in orchestrating, automating, and deploying production data pipelines using Airflow/Luigi, etc\n\nExtensive Experience with DevOps: Git, Github actions, CI/CD pipelines, Terraform, etc\n\nExperience with tools such as DBT or other similar technologies\n\nExperience with transforming, and developing data structures, metadata, dependency, and data workflows to support an Analytics function\n\nExperience with Designing Scalable Data Models in a Cloud Data warehouse\n\nIn-depth knowledge of Data lakes, EDW concepts, and data modeling (Star, Snowflake, and Galaxy schemas) \n\nExperience in implementing data governance practices and ensuring compliance with data privacy regulations (such as GDPR, CCPA).\n\nCommitment to continuous learning and professional development\n\n\n\n\nWhy SurveyMonkey? We’re glad you asked \nSurveyMonkey is a place where the curious come to grow. We’re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including best workplace for parents, our annual holiday refresh, our annual week of service, and our C.H.O.I.C.E Fund. In addition, we’ve reimagined the way we work to allow employees to choose what works best for them -- working in-person, fully remote, or a hybrid model that combines the two through our Choice Model.\n\nOur commitment to an inclusive workplace\nSurveyMonkey is an equal-opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.\n\n#LI-remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud and Engineer jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nOttawa, Ontario, Canada
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Frontpage
🏝 Remote jobs
🌗 Dark mode
👩💻 Hire remote workers
🚨 Post a remote job
🍱 Compact mode
✍️ Remote work blog new
Health insurance for teams
Hacker News mode
Safe for work mode
