\nWhy TrueML?\n \nTrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.\n \nThe TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.\n\n\nAbout the Role:\n\n\nAs a Senior Data Engineer II, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform. You will leverage open table formats like Apache Iceberg to create scalable, reliable data solutions that enable optimized query performance across a broad spectrum of analytical workloads and emerging data applications. In this role, you'll develop and operate robust data pipelines, integrating diverse source systems and implementing efficient data transformations for both batch and streaming data.\n\n\n\nWork-Life Benefits\n* Unlimited PTO\n* Medical benefit contributions in congruence with local laws and type of employment agreement\n\n\n\nWhat you'll do:\n* Building Data LakeHouse: In the Senior Data Engineer II role, you will design, build, and operate robust data lakehouse solutions utilizing open table formats like Apache Iceberg. Your focus will be on delivering a scalable, reliable data lakehouse with optimized query performance for a wide range of analytical workloads and emerging data applications.\n* Pipeline and Transformation: Integrate with diverse source systems and construct scalable data pipelines. Implement efficient data transformation logic for both batch and streaming data, accommodating various data formats and structures.\n* Data Modeling: Analyze business requirements and profile source data to design, develop, and implement robust data models and curated data products that power reporting, analytics, and machine learning applications.\n* Data Infrastructure: Develop and manage a scalable AWS cloud infrastructure for the data platform, employing Infrastructure as Code (IaC) to reliably support diverse data workloads. Implement CI/CD pipelines for automated, consistent, and scalable infrastructure deployments across all environments, adhering to best practices and company standards.\n* Monitoring and Maintenance: Monitor data workloads for performance and errors, and troubleshoot issues to maintain high levels of data quality, freshness, and adherence to defined SLAs.\n* Collaboration: Collaborate closely with Data Services and Data Science colleagues to drive the evolution of our data platform, focusing on delivering solutions that empower data users and satisfy stakeholder needs throughout the organization.\n\n\n\nA successful candidate will have:\n* Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's degree is a plus).\n* 5+ years of hands-on engineering experience (software or data), with a strong emphasis on 3+ years in data-focused roles.\n* Experience implementing data lake and data warehousing platforms.\n* Strong Python and SQL skills applied to data engineering tasks.\n* Proficiency with the AWS data ecosystem, including services like S3, Glue Catalog, IAM, and Secrets Manager.\n* Experience with Terraform and Kubernetes.\n* Track record of successfully building and operationalizing data pipelines.\n* Experience working with diverse data stores, particularly relational databases.\n\n\n\nYou might also have:\n* Experience with Airflow, DBT, and Snowflake. \n* Certification in relevant technologies or methodologies.\n* Experience with streaming processing technology, e.g., Flink, Spark Streaming.\n* Familiarity with Domain-Driven Design principles and event-driven architectures.\n* Certification in relevant technologies or methodologies.\n\n\n\n\n\n$62,000 - $77,000 a yearCompensation Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.\n\nThis role is only approved to hire within the following LatAm countries: Mexico, Argentina, or Dominican Republic.\n\n\nWe are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.\n\n\nOur Dedication to Diversity & Inclusion\n \nTrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. 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#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, Senior and Engineer jobs that are similar:\n\n
$60,000 — $135,000/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.
\nAbout HighLevel:\nHighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.\n\n\nOur Website - https://www.gohighlevel.com/\nYouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g\nBlog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/\n\n\nOur Customers:\nHighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.\n\n\nScale at HighLevel:\nWe operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.\n\n\nAbout the Role:\nWe are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems. This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the organisation.\n\n\n\nResponsibilities:\n* Software Engineering Excellence: Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patterns\n* Design, Build, and Maintain Systems: Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub/Sub, Kafka, RabbitMQ) and event-driven architectures\n* Data Pipeline Development: Design, develop and maintain data pipelines (ETL/ELT) to process structured and unstructured data from various sources\n* Data Storage & Warehousing: Build and optimize databases, data lakes and data warehouses (e.g. Snowflake) for high-performance querying\n* Data Integration: Work with APIs, batch and streaming data sources to ingest and transform data\n* Performance Optimization: Optimize queries, indexing and partitioning for efficient data retrieval\n* Collaboration: Work with data analysts, data scientists, software developers and product teams to understand requirements and deliver scalable solutions\n* Monitoring & Debugging: Set up logging, monitoring, and alerting to ensure data pipelines run reliably\n* Ownership & Problem-Solving: Proactively identify issues or bottlenecks and propose innovative solutions to address them\n\n\n\nRequirements:\n* 3+ years of experience in software development\n* Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field\n* Strong Problem-Solving Skills: Ability to debug and optimize data processing workflows\n* Programming Fundamentals: Solid understanding of data structures, algorithms, and software design patterns\n* Software Engineering Experience: Demonstrated experience (SDE II/III level) in designing, developing, and delivering software solutions using modern languages and frameworks (Node.js, JavaScript, Python, TypeScript, SQL, Scala or Java)\n* ETL Tools & Frameworks: Experience with Airflow, dbt, Apache Spark, Kafka, Flink or similar technologies\n* Cloud Platforms: Hands-on experience with GCP (Pub/Sub, Dataflow, Cloud Storage) or AWS (S3, Glue, Redshift)\n* Databases & Warehousing: Strong experience with PostgreSQL, MySQL, Snowflake, and NoSQL databases (MongoDB, Firestore, ES)\n* Version Control & CI/CD: Familiarity with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines for deployment\n* Communication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environment\n* Experience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus\n\n\n\n\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\n\n#LI-Remote #LI-NJ1 \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, JavaScript, Cloud, API, Marketing, Sales, Engineer and Backend jobs that are similar:\n\n
$60,000 — $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\nDelhi
👉 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 Zeotap\n\n\nFounded in Berlin in 2014, Zeotap started with a mission to provide high-quality data to marketers. As we evolved, we recognized a greater challenge: helping brands create personalized, multi-channel experiences in a world that demands strict data privacy and compliance. This drive led to the launch of Zeotap’s Customer Data Platform (CDP) in 2020—a powerful, AI-native SaaS suite built on Google Cloud that empowers brands to unlock and activate customer data securely.\n\n\nToday, Zeotap is trusted by some of the world’s most innovative brands, including Virgin Media O2, Amazon, and Audi, to create engaging, data-driven customer experiences that drive better business outcomes across marketing, sales, and service. With an unique background in high-quality data solutions, Zeotap is a leader in the European CDP market, empowering enterprises with a secure, privacy-first solution to harness the full potential of their customer data.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 2+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Cloud, Senior and Engineer jobs that are similar:\n\n
$52,500 — $92,500/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\nBengaluru, Karnataka
👉 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.
Government Employees Insurance Company is hiring a
Remote Staff Engineer
Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate is a self-starter that has deep technical expertise in their domain. Position Responsibilities As a Senior Staff Engineer, you will: Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise Collaborate across team members and across the tech organization to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like C#, Java, Python or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Qualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms. Proven expertise in designing and developing microservices using C#, gRPC, Python, Django, Kafka, and Apache Spark, with a deep understanding of both API and event-driven architectures. Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency. Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes Fluency and Specialization with at least two modern OOP languages such as C#, Java, C++, or Python including object-oriented design Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc. In-depth knowledge of CS data structures and algorithms Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments Experience in Azure Network (Subscription, Security zoning, etc.) Experience 10+ years full-stack development experience (C#/Java/Python/GO), with expertise in client-side and server-side frameworks. 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period** Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Reimbursement Paid Training and Licensures *Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. **Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants. For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Opportunities for Students & Grads Learn more about GEICO Learn more about GEICO Diversity and Inclusion Learn more about GEICO Benefits \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, DevOps, Education, Cloud, API, Senior and Engineer jobs that are similar:\n\n
$47,500 — $97,500/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\nMD Chevy Chase (Office) - JPS
👉 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.
Remote Senior AI Infra Engineer AI ML and Data Infrastructure
The Team\n\nAcross our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward. \n\nThe Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI.\nThe Opportunity\n\nBy pairing engineers with leaders in our science and education teams, we can bring AI/ML technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. Our technology team is already helping schools bring personalized learning tools to teachers and schools across the country. We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences. \n\nThe AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. A person in this role will build these technology solutions and help to cultivate a culture of shared best practices and knowledge around core engineering.\nWhat You'll Do\n\n\n* Participate in the technical design and building of efficient, stable, performant, scalable and secure AI/ML and Data infrastructure engineering solutions.\n\n* Active hands-on coding working on our Deep Learning and Machine Learning models\n\n* Design and implement complex systems integrating with our large scale AI/ML GPU compute infrastructure and platform, making working across multiple clouds easier and convenient for our Research Engineers, ML Engineers, and Data Scientists. \n\n* Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large scale GPU Research cluster as well as working on our various heterogeneous and distributed AI/ML environments. \n\n* Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.\n\n* Collaborate with our partners on data management solutions in our heterogeneous collection of complex datasets.\n\n* Help build tooling that makes optimal use of our shared infrastructure in empowering our AI/ML efforts with world class GPU Compute Cluster and other compute environments such as our AWS based services.\n\n\n\nWhat You'll Bring\n\n\n* BS or MS degree in Computer Science or a related technical discipline or equivalent experience\n\n* 5+ years of relevant coding experience\n\n* 3+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering\n\n* Scaling containerized applications on Kubernetes or Mesos, including expertise with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)\n\n* Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments\n\n* Proven coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala\n\n* Shown ability with a scripting language such as Python, PHP, or Ruby\n\n* AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam \n\n* MLOps experience working with medium to large scale GPU clusters in Kubernetes (Kubeflow), HPC environments, or large scale Cloud based ML deployments\n\n* Working knowledge of Nvidia CUDA and AI/ML custom libraries. \n\n* Knowledge of Linux systems optimization and administration\n\n* Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.\n\n* PyTorch, Karas, or Tensorflow experience a strong nice to have\n\n* HPC with and Slurm experience a strong nice to have\n\n\n\nCompensation\n\nThe Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.\nBenefits for the Whole You \n\nWe’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. \n\n\n* CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.\n\n* Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.\n\n* CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.\n\n* Paid time off to volunteer at an organization of your choice. \n\n* Funding for select family-forming benefits. \n\n* Relocation support for employees who need assistance moving to the Bay Area\n\n* And more!\n\n\n\nCommitment to Diversity\n\nWe believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. \n\nIf you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.\n\nExplore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.\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, Amazon, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n
$42,500 — $82,500/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\nRedwood City, California, 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 company\n\n\nZeotap is the next-generation Customer Data Platform. It empowers brands to unify, enhance and activate customer data in a cookieless future, all while putting consumer privacy and compliance front-and-centre. Recognised by Gartner as a “Cool Vendor”, Zeotap works with over 80 of the world’s top 100 brands, including P&G, Nestlé and Virgin Media. It is also the founding member of ID+, a universal marketing ID initiative.\n\n\nZeotap is expanding its SAAS product suites branded as Customer Intelligence Platform consisting of an integrated product suite for Customer data collection, ID resolution, Predictive Analytics, Audience management and Activation. \nOur ideal candidate will be passionate about helping our enterprise customers and business teams across the globe, enjoy resolving problems, identifying root causes of issues, and thrive in a team environment. The incoming person would be responsible for end-to-end ticket resolution and communication with the customers and other stakeholders within the SLA, escalations to the internal teams based on SOPs, creation of internal knowledge based articles and perform engineering support activities as and when required.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 1+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Java, NoSQL, Senior, Marketing and Engineer jobs that are similar:\n\n
$60,000 — $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\nBengaluru, Karnataka
👉 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.
\nCAPCO POLAND \n\n*We are looking for Poland based candidate. The job is remote but may require some business trips.\n\nJoining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.\n\nCapco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.\n\nWe also are experts in focused on development, automation, innovation, and long-term projects in financial services. In Capco, you can code, write, create, and live at your maximum capabilities without getting dull, tired, or foggy.\n\nWe're seeking a skilled Mid Big Data Engineer to join our Team. The ideal candidate will be responsible for designing, implementing and maintaining scalable data pipelines and solutions on on-prem / migration / cloud projects for large scale data processing and analytics.\n\n \n\nTHINGS YOU WILL DO\n\n\n* Design, develop and maintain robust data pipelines using Scala or Python, Spark, Hadoop, SQL for batch and streaming data processing\n\n* Collaborate with cross-functional teams to understand data requirements and design efficient solutions that meet business needs \n\n* Optimize Spark jobs and data processing workflows for performance, scalability and reliability\n\n* Ensure data quality, integrity and security throughout the data lifecycle\n\n* Troubleshoot and resolve data pipeline issues in a timely manner to minimize downtime and impact on business operations\n\n* Stay updated on industry best practices, emerging technologies, and trends in big data processing and analytics\n\n* Document, design specifications, deployment procedures and operational guidelines for data pipelines and systems\n\n* Provide technical guidance and mentorship for new joiners\n\n\n\n\n \n\nTECH STACK: Python or Scala, OOP, Spark, SQL, Hadoop\n\nNice to have: GCP, Pub/Sub, Big Query, Kafka, Juniper, Apache NiFi, Hive, Impala, Cloudera, CI/CD\n\n \n\nSKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE\n\n\n* min. 3-4 years of experience as a Data Engineer/Big Data Engineer\n\n* University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience\n\n* Excellent SQL skills, including advanced concepts\n\n* Very good programming skills in Python or Scala\n\n* Experience in Spark and Hadoop\n\n* Experience in OOP\n\n* Experience using agile frameworks like Scrum\n\n* Interest in financial services and markets\n\n* Nice to have: experience or knowledge with GCP \n\n* Fluent English communication and presentation skills\n\n* Sense of humor and positive attitude\n\n\n\n\n \n\nWHY JOIN CAPCO?\n\n\n* Employment contract and/or Business to Business - whichever you prefer\n\n* Possibility to work remotely\n\n* Speaking English on daily basis, mainly in contact with foreign stakeholders and peers\n\n* Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)\n\n* Access to 3.000+ Business Courses Platform (Udemy)\n\n* Access to required IT equipment\n\n* Paid Referral Program\n\n* Participation in charity events e.g. Szlachetna Paczka\n\n* Ongoing learning opportunities to help you acquire new skills or deepen existing expertise\n\n* Being part of the core squad focused on the growth of the Polish business unit\n\n* A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients\n\n* A work culture focused on innovation and creating lasting value for our clients and employees\n\n\n\n\n \n\nONLINE RECRUITMENT PROCESS STEPS*\n\n\n* Screening call with the Recruiter\n\n* Technical interview: first stage\n\n* Client Interview\n\n* Feedback/Offer\n\n\n\n\n*The recruitment process may be modified \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n
$57,500 — $92,500/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\nKraków, Lesser Poland Voivodeship, Poland
👉 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.
\nHinge is the dating app designed to be deleted\n\n\nIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.\n\n\nCollaborate with a cross-disciplinary team to build features and work with other engineers to plan out projects. Design and build backend systems with an emphasis on quality and scalability. Own complex projects end-to-end and effectively communicate to stakeholders. Work in a cloud native tech stack: Kubernetes, AWS, Go web services, Postgres, Redis, Kafka. Be a thought partner for backend team strategy and technical direction. Create and maintain feedback cycles with your peers and manager. Operate and maintain production systems. Support and mentor junior developers. Assist with team hiring and learning. Use strong communication skills (written and verbal) to provide product and project ideas to contribute to trust and safety goal. Telecommuting may be permitted. When not telecommuting, must report to 809 Washington St, New York, NY 10014. Salary: $169,229 - $220,000 per year.\n \n \nMinimum Requirements: Bachelor's degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field, plus 5 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field plus 3 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. Must also have the following: 3 years of professional experience building backend infrastructures for consumer-facing features (Business to Consumer) built on iOS and Android; 3 years of professional experience handling large volumes (millions daily) of data within AWS using Python and Golang scripting languages and handling cloud-based container including Docker and Kubernetes; 3 years of professional experience handling data and event streaming using Apache Spark and handling data storage using relational databases including MySQL and NoSQL database including PostgreSQL and Redis; 3 years of professional experience performing and employing software engineering best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations); 2 years of professional experience performing backend software engineering (including leading and collaborating with Internal Tooling, Bad Actor Detection, Privacy & Compliance and Safety Product teams across web and apps) and developing backend infrastructures to drive systems that support the trust and safety of users with microservices written in Golang; 2 years of professional experience leading and creating project roadmaps of deployments for B2C web applications and mobile apps (including iOS and Android) and breaking down step to designate to peers; and 2 years of professional experience reviewing peer code and mentoring junior engineers.\n \nPlease send resume to: [email protected]. Please specify ad code [WLLL].\n\n\n\n\n$169,229 - $220,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York, New York.\n\n#LI-DNI\n\n\nAs a member of our team, you’ll enjoy:\n\n\n401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.\n\n\nProfessional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.\n\n\nParental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)\n\n\nFertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.\n\n\nDate Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.\n\n\nERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.\n\n\nAt Hinge, our core values are…\n\n\nAuthenticity: We share, never hide, our words, actions and intentions.\n\n\nCourage: We embrace lofty goals and tough challenges.\n\n\nEmpathy: We deeply consider the perspective of others.\n\n\nDiversity inspires innovation\n\n\nHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.\n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \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, Cloud, NoSQL, Mobile, Senior, Junior, Golang, Engineer and Backend 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\nNew York, New York
👉 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.
\nWe are seeking a skilled Platform Engineer to join our team. They will be instrumental in developing and optimizing our cloud architecture as well as managing our development and analytics tooling. The ideal candidate has a proven track record of maintaining and developing cloud-based architecture which supports large-scale data initiatives for data science and software development teams. \n \nThe Platform Engineer will be responsible for designing, implementing, and managing cloud architectures to meet business requirements. The ideal candidate possesses expertise in translating business needs into scalable cloud solutions while ensuring security, reliability, and cost-effectiveness.\n\n\n\nResponsibilities:\n* Collaborate with business stakeholders to understand the product requirements and translate them into scalable and resilient cloud architectures.\n* Collaborate closely with Data Engineering, Data Science and Software Development teams to contribute to the design of the cloud solutions for our products.\n* End-to-end implementation of the optimized and secure cloud-based/cloud-native architecture. \n* Develop and document cloud architecture designs, ensuring alignment with industry best practices.\n* Provide expertise in cloud and platform engineering to the Product Data team, ensuring alignment with the company's strategic goals.\n* Contribution to the selection and integration of cloud-based vendors, tools and frameworks.\n* Keep up with emerging trends in cloud engineering and introduce new technologies or practices that can benefit the organization.\n* Implement security measures to safeguard cloud environments, including identity and access management, encryption, and compliance controls.\n* Conduct regular security assessments and address vulnerabilities promptly.\n* Monitor and optimize cloud infrastructure for performance, cost, and reliability.\n* Implement performance tuning strategies to enhance overall system efficiency.\n* Continuous improvement and innovation for cloud and platform engineering.\n* Implement and manage the provisioning of cloud resources based on project requirements.\n* Responsible for the maintenance and support of cloud-based and cloud-native architecture including access controls, security and networking.\n* Configure and fine-tune cloud infrastructure components for optimal performance.\n* Perform audits and assessments of cloud environments to ensure compliance with security and regulatory standards.\n* Provide recommendations for continuous improvement and adherence to best practices.\n* Lead the deployment of applications onto our cloud platform, ensuring seamless integration and functionality.\n* Manage and monitor cloud applications to maintain performance, availability, and scalability.\n\n\n\nQualifications:\n* 3-5 years of proven experience as a Platform Engineer or similar role in designing, implementing, and managing cloud architectures.\n* Expertise in constructing, installing, and maintaining large-scale cloud-native and cloud-based architecture.\n* Database management expertise: Postgres, Snowflake, Lucene-based search engines (Apache Solr/AWS OpenSearch/Elastic Search)\n\n\n* Cloud-Native tooling expertise: Amazon S3, AWS EMR, Amazon EC2 Amazon RDS, Amazon Sagemaker, Amazon ECS, Amazon ECR, Amazon VPC, Amazon IAM (*alternatives from other cloud providers are acceptable) \n* Cloud-based Application tooling: Databricks administration\n* Strong communication in English. Ability to communicate technical concepts to non-technical audience.\n* Cloud Certifications from Cloud providers (AWS. GCP, Azure) \n* Experience with Streaming Technologies such as Apache Kafka and AWS Kinesis\n* Experience Productionizing ML based cloud solutions.\n\n\n\n\n\n#LI-RT9\n\n\nEdelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.\n\n\nWe use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.\n\n\nDXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.\n\n\nTo learn more, visit: https://www.edelmandxi.com \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud and Engineer jobs that are similar:\n\n
$70,000 — $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.
\nChai is one of the fastest-growing, generative AI startups in Silicon Valley. YouTube but for LLM's - we have over 1 million active users.\n\nWho we are looking for:\n\nWe need a Staff ML Infra Engineer with 3+ years of experience in building scalable ML infrastructure from the ground up, and who can manage and grow our Engineering team from 12 to 50 people within the next 18 months.\n\nHere's why we might not be the right fit for you:\n• We work hard and have a high-velocity environment with lots of growth opportunities.\n• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.\n• You will be responsible and accountable for making high-impact decisions that determine Chai's future\n\nHere are the top 2 reasons why you should join us:\n• Exponential growth. 1 Million MAU. Join the team that gets us to 100 million MAU.\n• Craftsmanship. Build something beautiful.\n\nRequirements:\n• Bachelor's degree from a leading academic institution\n• 3+ years of experience in backend engineering\n• Familiar with Kubernetes and Python\n• Familiar with Apache Kafka and Spark\n\nHere is our tech stack:\n• Front end: Python, Flutter, Dart\n• Back end: Python, GCP, Redis, Kubernetes\n\nProcess:\nExceptionally fast, application to offer within 7 days.\n1. Apply here\n2. First round video interview, system design interview, then onsite\n3. Reference checks, negotiation, and offer \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Engineer and Backend jobs that are similar:\n\n
$70,000 — $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.
\nVerana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. \n\nExisting Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.\n\nWe are driven to create quality real-world data in ophthalmology, neurology and urology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values. \n\n Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, NC, NJ, NY, OH, OR, PA, TN, TX, UT , VA, WA, WI. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. \n\nJob Title: Data Engineer\n\nJob Intro:\n\nAs a Data/Software Engineer at Verana Health, you will be responsible for extending a set of tools used for data pipeline development. You will have strong hands-on experience in design & development of cloud services. Deep understanding of data quality metadata management, data ingestion, and curation. Generate software solutions using Apache Spark, Hive, Presto, and other big data frameworks. Analyzing the systems and requirements to provide the best technical solutions with regard to flexibility, scalability, and reliability of underlying architecture. Document and improve software testing and release processes across the entire data team.\n\nJob Duties and Responsibilities:\n\n\nArchitect, implement, and maintain scalable data architectures to meet data processing and analytics requirements utilizing AWS and Databricks\n\nAbility to troubleshoot complex data issues and optimize pipelines taking into consideration data quality, computation and cost.\n\nCollaborate with cross-functional teams to understand and translate data needed into effective data pipeline solutions\n\nDesign solutions to solving problems related to ingestion and curation of highly variable data structures in a highly concurrent cloud environment.\n\nRetain metadata for tracking of execution details to reproducibility and providing operational metrics.\n\nCreate routines to add observability and alerting to the health of pipelines.\n\nEstablish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.\n\nResearch , perform proof-of-concept and leverage performant database technologies(like Aurora Postgres, Elasticsearch, Redshift) to support end user applications that need sub second response time.\n\nParticipate in code reviews.\n\nProactive in staying updated with industry trends and emerging technologies in data engineering.\n\nDevelopment of data services using RESTful API’s which are secure(oauth/saml), scalable(containerized using dockers), observable (using monitoring tools like datadog, elk stack), documented using OpenAPI/Swagger by using frameworks in python/java and automated CI/CD deployment using Github actions.\n\nDocument data engineering processes , architectures, and configurations.\n\n\n\n\nBasic Requirements:\n\n\nA minimum of a BS degree in computer science, software engineering, or related scientific discipline.\n\nA minimum of 3 years of experience in software development\n\nStrong programming skills in languages such as Python/Pyspark, SQL\n\nExperience with Delta lake, Unity Catalog, Delta Sharing, Delta live tables(DLT)\n\nExperience with data pipeline orchestration tools - Airflow, Databricks Workflows\n\n1 year of experience working in AWS cloud computing environment, preferably with Lambda, S3, SNS, SQS\n\nUnderstanding of Data Management principles(governance, security, cataloging, life cycle management, privacy, quality)\n\nGood understanding of relational databases.\n\nDemonstrated ability to build software tools in a collaborative, team oriented environment that are product and customer driven.\n\nStrong communication and interpersonal skills\n\nUtilizes source code version control.\n\nHands-on experience with Docker containers and container orchestration.\n\n\n\n\nBonus:\n\n\nHealthcare and medical data experience is a plus.\n\nAdditional experience with modern compiled programming languages (C++, Go, Rust)\n\nExperience building HTTP/REST APIs using popular frameworks\n\nBuilding out extensive automated test suites\n\n\n\n\nBenefits:\n\nWe provide health, vision, and dental coverage for employees\n\n\n\n\n\n\n\nVerana pays 100% of employee insurance coverage and 70% of family\n\nPlus an additional monthly $100 individual / $200 HSA contribution with HDHP\n\n\n\n\n\n\n\n\nSpring Health mental health support\n\nFlexible vacation plans\n\nA generous parental leave policy and family building support through the Carrot app\n\n$500 learning and development budget\n\n$25/wk in Doordash credit\n\nHeadspace meditation app - unlimited access\n\nGympass - 3 free live classes per week + monthly discounts for gyms like Soulcycle\n\n\n\n\nFinal note:\n\nYou do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.\n\n \n\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 Design, Docker, Testing, Cloud and Engineer jobs that are similar:\n\n
$70,000 — $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.
\nAbout Us\n\nAt People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy. We empower developers, engineers, and data scientists to create innovative, compliant data products at scale with our clean, easy-to-use datasets of resume, company, location, and education data consumed through our suite of APIs. \n\nPDL is an innovative, fast-growing, global team backed by world-class investors, including Craft Ventures, Flex Capital, and Founders Fund. We scour the world for people hungry to improve, curious about how things work, and willing to challenge the status quo to build something new and better.\n\nRoles & Responsibilities:\n\n\n* Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks\n\n* Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets.\n\n* Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production.\n\n* Devising solutions to largely-undefined data engineering and data science problems.\n\n* Work with stakeholders in Engineering and Product to assist with data-related technical issues and support their infrastructure needs\n\n\n\n\nTechnical Requirements\n\n\n* 5-7+ years industry experience with clear examples of strategic technical problem solving and implementation\n\n* Strong software development fundamentals.\n\n* Experience withPython Expertise with Apache Spark (Java, Scala, and/or Python-based)\n\n* Experience with SQL\n\n* Experience building scalable data processing systems (e.g., cleaning, transformation) from the ground up.\n\n* Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar)\n\n* Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills)\n\n* Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)\n\n* Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)\n\n* Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar)\n\n* Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake)\n\n\n\n\nProfessional Requirements\n\n\n* Must thrive in a fast paced environment and be able to work independently\n\n* Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)\n\n* Strong written communication skills on Slack/Chat and in documents\n\n* You are experienced in writing data design docs (pipeline design, dataflow, schema design)\n\n* You can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders\n\n\n\n\nNice To Haves:\n\n\n* Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering\n\n* Experience working with entity data (entity resolution / record linkage)\n\n* Experience working with data acquisition / data integration\n\n* Expertise with Python and the Python data stack (e.g., numpy, pandas)\n\n* Experience with streaming platforms (e.g., Kafka)\n\n* Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness)\n\n\n\n\nOur Benefits\n\n\n* Stock\n\n* Competitive Salaries\n\n* Unlimited paid time off\n\n* Medical, dental, & vision insurance \n\n* Health, fitness, and office stipends\n\n* The permanent ability to work wherever and however you want\n\n\n\n\nNo C2C, 1099, or Contract-to-Hire. Recruiters need not apply.\n\nPeople Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Education, Cloud, Senior and Engineer jobs that are similar:\n\n
$65,000 — $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
\n\n#Location\nSan Francisco, California, 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.
\nWho We Are:\n\nSmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.\n\nWe pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:\n\n\n* Integrity: Do the right thing. Especially when it’s hard.\n\n* Courage: Embrace the challenge.\n\n* Together: Build bridges and lift up your colleagues.\n\n\n\n\nJob Summary:\n\nSmithRx is innovating in Pharmacy Benefits Management (PBM) with a next-gen platform, transforming how businesses manage pharmacy benefits. Our advanced technology offers real-time insights for cost efficiency, improved clinical services, and an enhanced customer experience. As part of SmithRx's product & engineering organization, the data engineering team is committed to creating a scalable and reliable data ecosystem, a vital foundation for delivering excellent service and operational superiority to our customers.\n\nWe are currently seeking a highly motivated Senior Data Engineer to join our fast-paced data team. The ideal candidate will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure data quality and reliability. This should also include a strong background in data engineering, with expertise in data modeling, ETL processes, and cloud technologies.\n\nWhat you will do:\n\n\n* Design and implement scalable data models in enterprise data warehouse to support the company's analytical and reporting needs.\n\n* Develop and optimize ETL processes to ingest, transform, and load data from various sources into a data warehouse.\n\n* Collaborate with internal stakeholders, including Data Analytics team, to understand data requirements and translate them into technical solutions.\n\n* Build and maintain data warehouses, data lakes, and other data storage solutions to store and manage large volumes of structured and unstructured data.\n\n* Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance.\n\n* Monitor and optimize ETL jobs, database performance and data warehouse queries.\n\n* Document data engineering processes, data models, and design for knowledge sharing and reference.\n\n* Mentor junior data engineers and provide technical guidance and support to team members.\n\n\n\n\nWhat you will bring to SmithRx:\n\n\n* Bachelor's degree above in Computer Science, Information Technology, or a related field.\n\n* 5+ years of related experience in data engineering, software engineering, including proven experience as a Data Engineer with expertise in data warehouse technologies.\n\n* Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark.\n\n* Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark\n\n* Solid understanding of data modeling concepts and database design principles.\n\n* Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker)\n\n* Strong problem-solving abilities and attention to detail.\n\n* Excellent communication and collaboration skills.\n\n* Positivity; non-dogmatic, team-first attitude\n\n* Flexibility; someone who is responsive and comfortable with ambiguity\n\n* Start-up or healthcare experience is highly desirable\n\n\n\n\nWhat SmithRx Offers You: \n\n\n* Total Rewards package that includes incentive bonus and stock options\n\n* Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance\n\n* Flexible Spending Benefits \n\n* 401(k) Retirement Savings Program \n\n* Short-term and long-term disability\n\n* Discretionary Paid Time Off \n\n* 12 Paid Holidays\n\n* Wellness Benefits\n\n* Commuter Benefits \n\n* Paid Parental Leave benefits\n\n* Employee Assistance Program (EAP)\n\n* Well-stocked kitchen in office locations\n\n* Professional development and training opportunities\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, Cloud, Senior and Engineer jobs that are similar:\n\n
$65,000 — $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\nSan Francisco, California, 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.
\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\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, DevOps, NoSQL, Senior, Engineer and Backend 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.
👉 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 Flywheel \n\n\nFlywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. With teams across the Americas, Europe, APAC, and China, we offer a career with real impact, endless growth opportunities and the support you need to be the best you can be.\n\n\n\n\nOpportunity \n\n\nWe're looking for a Mid/Senior Data Engineer to join our team. The best candidates will hit the ground running and contribute to our data team as we develop and maintain necessary data automation, reports, ETL/ELT, and quality controls using leading-edge cloud technologies. You will have a deep knowledge and understanding of all stages in the software development life cycle. The ability to self-start, mentor and manage less experienced data engineers, desire to learn new technology, manage multiple priorities, and strong communication are all in your wheelhouse!\n\n\n\nWhat you'll do: \n* Write high-level, well-documented code in Python and SQLBuild data pipelines that range from simple to complex, using technologies like Apache Airflow and AWS Lambda, Step Functions, and EventBridge, and other AWS serverless technologies.\n* Build ETL pipelines with Snowflake, AWS Glue, pyspark and other ETL tools.\n* Work with a mix of structured and unstructured data across cloud-based batch and streaming architectures\n* Engage directly with technical analysts, project managers, and other technical teams to help build concise requirements and ensure timely completion of projects\n* Work with Git, CI/CD, and version control to maintain code and documentation\n* Design and vet solutions for technical problems, and solicit team feedback during the design process\n* Mentor, manage, train, and participate in paired programming in a lead capacity\n\n\n\nWho you are: \n* Must have experience with version control, GitHub, and software development life cycle\n* 4 years experience with SQL and data modeling\n* 4 years experience developing with Python\n* Demonstrated experience interacting with RESTful APIs\n* Experience with data pipelines / batch automation in at least one major technology (e.g. Apache Airflow)\n* Experience with one of the major cloud providers (AWS-preferred)\n* AWS Serverless (lambda, eventbridge, step functions, sqs)Experience working in an agile development environmentStreaming experience (kafka, kinesis, etc.)\n* Familiarity with JiraExperience with other AWS technologies: EC2, Glue, Athena, etc.\n* Experience with additional cloud platforms beyond AWS\n* Experience developing CI/CD, automations, and quality of life improvements for developers\n\n\n\n\n\nWorking at Flywheel\n\n\nWe are proud to offer all Flywheelers a competitive rewards package and unparalleled career growth opportunities and a supportive, fun and engaging culture. \n\n\n🌍 We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others\n🌴 Vacation time will depend where you're located \n🧠 Great learning and development opportunities\n💜 Benefits will depend on where you're located\n🙌 Volunteering opportunities\n🌿 Learn more about us here: Life at Flywheel\n\n\nThe Interview Process:\n\n\nEvery role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.\n\n\nEvery role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.\n\n\nInclusive Workforce\n\n\nAt Flywheel, our goal is to create a culture where individuals of all backgrounds feel comfortable in bringing their authentic selves to work. We want all Flywheel people to feel included and truly empowered to contribute fully to our vision and goals.\n\n\nFlywheel is an Equal Opportunity Employer and participates in E-Verify. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.\n\n\nIf you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know at [email protected] so that we can support you.\n\n\nPlease note, We do not accept unsolicited resumes.\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, Serverless, 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
👉 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.
\nWith millions of diners, tens of thousands of restaurants, and 23+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a unique insight into the world of hospitality. We champion restaurants, bars, wineries, and other venues around the world, helping them attract guests, manage capacity, improve operations and maximize revenue.\n\nEvery employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global network that includes OpenTable and KAYAK's portfolio of travel brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined.\n\nHospitality is all about taking care of others, and it defines our culture. You’ll work in a welcoming and inclusive environment, and get the benefits, flexibility, and support you need to succeed.\n\nThe Role:\n\nReporting to the Manager, Business Intelligence, this position will play a crucial role in developing, maintaining, and optimizing our data infrastructure to support business decisions across OpenTable. The role will collaborate with cross-functional teams to identify business problems and develop solutions through data gathering.\n\nThe Senior Data Engineer level position is expected to have a strong understanding of the OpenTable Systems and its impact on the data architecture. This position will have to be a strong communicator, have an analytical mindset and strong technical skills and be comfortable delivering results in ambiguity. \n\nResponsibilities: \n\n\n* Gather and analyze business requirements to create and design data models and build data pipelines for data extraction, transformation, and loading (ETL)\n\n* Translate requirements into technical specifications and builds dimensional data warehouse solutions to meet the requirements\n\n* Collaborate with business stakeholders and technical teams to ensure data accuracy, integrity, and consistency\n\n* Develops project plans, tracks progress and keeps all project partners updated throughout the process.\n\n* Identify opportunities for process improvement and automation to streamline data workflows\n\n* Evaluate new data sources and tools to improve the effectiveness and efficiency of the data infrastructure\n\n* Ensure data accuracy, completeness, and security in accordance with company policies and industry standards\n\n* Deep understanding of data mapping, data validation, data manipulation, data analysis use cases and provide observations of the system and suggest automated steps to fulfill the business operations and the requirements\n\n* Stay up-to-date with industry trends and best practices in data analytics, and continuous developments in data processes and methodologies\n\n* Solid sense of ownership; engages domain experts and other team members to work through challenges and cultivates positive team engagement; steps-in to other projects as needed\n\n\n\n\nPlease apply if: \n\n\n* 5+ years of extensive SQL/database query skill\n\n* In-depth knowledge of Python and Apache Airflow, including 3+ years' experience.\n\n* 5+ years of Data Warehouse/BI Modeling Experience\n\n* 3+ years of experience with ETL tools\n\n* 2+ years of experience with Kimball data modeling\n\n* Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights\n\n* Proficient in SQL/database query with in-depth knowledge of Python, Apache Airflow, or similar programming\n\n* Experience with Snowflake or any other relational database\n\n* Experience with data visualization tools such as Superset or MicroStrategy\n\n* Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related field\n\n* Excellent communication and interpersonal skills to collaborate effectively with team members in Agile iterative processes and translate sophisticated data concepts to non-technical stakeholders\n\n* High energy and contagious enthusiasm with the willingness to tackle tough projects and strives for success in ambiguous work environments\n\n\n\n\nBenefits\n\n\n* Paid Time Off - 20 days a year\n\n* Birthday/celebration PTO - 1 day\n\n* Annual company weeks off\n\n* Flexible sick time off\n\n* Paid volunteer time\n\n* Parental Leave Benefits\n\n* Dental & Vision Insurance\n\n* Life & Disability Insurance\n\n* Group RRSP and DPSP\n\n* Major Medical Insurance (dependent care options)\n\n\n\n\nDiversity, Equity, and Inclusion\n\nOpenTable aspires to be a workplace that reflects the diverse communities we serve and a culture that is inclusive and welcoming. Hiring people with different backgrounds, experiences, perspectives, and ideas is critical to innovation and to how we deliver great experiences for our users and our partners. Representation matters.\n\nWe ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\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, 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
\n\n#Location\nToronto, 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.
\nAbout the Role\n\nAs a staff level Data Engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Data Engineering and Data Platform teams. You will lead the design, implementation, and maintenance of a performant and cost efficient data pipelines (both batch and streaming), as well as contribute to the overall Maven data architecture, with the goal of expanding our data warehouse functionality and uplevel the data analytics and machine learning capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality data sets and features, that empower our key business and product decision makings, and eventually lead to Maven’s growth and customer success.\n\nKey Responsibilities\n\n\n* Lead the design, implementation and maintenance of highly performant and cost efficient data pipelines\n\n* In partnership with data platform and backend teams, contribute to the architecture design of a highly scalable and reliable data systems\n\n* Collaborate with product and service engineers in reviewing the modeling of the source datasets, guiding the holistic data vision between various data systems\n\n* Drive technical design discussions in all related data domains and provide guidance to team members on best practices, coding standards, and architecture principles.\n\n* Mentor and guide and mid-level data engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement.\n\n* Identify and evaluate emerging technologies, tools, and trends that can drive innovation and improve the efficiency and effectiveness of our data engineering processes.\n\n\n\n\nQualifications\n\n\n* Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.\n\n* Minimum of 7 years of experience in data engineering or relevant backend development, with a proven track record of building highly scalable, performant, and reliable data pipelines.\n\n* Extensive experience in using SQL or similar data processing language to process and analyze data\n\n* Extensive experience with data modeling for large distributed data warehouses (or a similar cloud based) solutions, is able to discuss in-depth about general principles and trade-offs of different modeling approaches.\n\n* Hands-on experience with one of the workflow orchestration tools (eg. Apache Airflow)\n\n* Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional business partners, especially with teams outside of the engineering group\n\n* Working proficiency in one of the programming languages (Java, Python, Go, etc.) \n\n* Product mindset to embrace business needs and produce scalable data/engineering solutions\n\n* Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles.\n\n* Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment.\n\n\n\n\nAt Maven Clinic, we are committed to building a world-class digital healthcare platform that empowers women and families to live healthier and more fulfilling lives. If you are a seasoned engineer with a passion for building scalable, performant, and reliable systems, and want to make a real impact in the world of healthcare, we would love to hear from you.\n\nFor candidates in NYC or CO, the salary range for this role is $195,000 - $300,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Engineer and Backend jobs that are similar:\n\n
$40,000 — $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
\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.
\n\n\n \n\nWho are Tide:\n\nAt Tide, we’re on a mission to save businesses time and money. We’re the leading provider of UK SME business accounts and one of the fastest-growing FinTechs in the UK. Using the latest tech, we design solutions with SMEs in mind and our member-driven financial platform is transforming the business banking market. Not only do we offer our members business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses. \n\nTide is about doing what you love. We’re looking for someone to join us on our exciting scale up journey and be a part of something special. We are wanting passionate Tideans to drive innovation and help build a best-in-class platform to support our members. You will be comfortable in ambiguous situations and will be able to navigate the evolving FinTech environment. Imagine shaping how millions of Tide members discover and engage with business banking platforms and building this on a global scale.\n\nWhat we’re looking for:\n\nAs part of the team, you will be responsible for building and running the data pipelines andservices that are required to support business functions/reports/dashboard.. We are heavily dependent on Snowflake, Airflow, Fivetran, dbt , Looker for our business intelligence andembrace AWS as a key partner across our engineering teams\n\nAs a Analytics Engineer you’ll be:\n\n\n* Developing end to end ETL/ELT Pipeline working with Data Analyst of business function.\n\n* Designing, developing, and implementing scalable, automated processes for data extraction, processing, and analysis in a Data Mesh architecture\n\n* Mentoring other Junior Engineers in Team\n\n* Be a “go-to” expert for data technologies and solutions\n\n* Ability to provide on the ground troubleshooting and diagnosis to architecture and design challenges\n\n* Troubleshooting and resolving technical issues as they arise\n\n* Looking for ways of improving both what and how data pipelines are delivered by the department\n\n* Translating business requirements into technical requirements, such as entities that need to be modelled, DBT models that need to be build, timings, tests and reports owning the delivery of data models and reports end to end\n\n* Perform exploratory data analysis in order to identify data quality issues early in the process and implement tests to ensure prevent them in the future\n\n* Working with Data Analyst to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other “delta loading” approaches\n\n* Discovering, transforming, testing, deploying and documenting data sources\n\n* Applying, help defining, and championing data warehouse governance: data quality, testing, coding best practises, and peer review\n\n* Building Looker Dashboard for use cases if required\n\n\n\n\nWhat makes you a great fit: \n\n\n* You have 7+ years of extensive development experience using snowflake or similar data warehouse technology\n\n* You have working experience with dbt and other technologies of the modern datastack, such as Snowflake, Apache Airflow, Fivetran, AWS, git ,Looker\n\n* You have experience in agile processes, such as SCRUM\n\n* You have extensive experience in writing advanced SQL statements and performance tuning them\n\n* You have experience in Data Ingestion techniques using custom or SAAS tool like fivetran\n\n* You have experience in data modelling and can optimise existing/new data models\n\n* You have experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets\n\n* You having experience architecting analytical databases (in Data Mesh architecture) is added advantage\n\n* You have experience working in agile cross-functional delivery team\n\n* You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment\n\n\n\n\nWhat you’ll get in return: \n\nMake work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get:\n\n\nCompetitive salary\n\nSelf & Family Health Insurance\n\nTerm & Life Insurance\n\nOPD Benefits\n\nMental wellbeing through Plumm\n\nLearning & Development Budget\n\nWFH Setup allowance\n\n15 days of Privilege leaves\n\n12 days of Casual leaves\n\n12 days of Sick leaves\n\n3 paid days off for volunteering or L&D activities\n\n\n\n\nTidean Ways of Working \n\nAt Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.\n\nTide is a place for everyone\n\nAt Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. We believe it’s what makes us awesome at solving problems! We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.\n\n#LI-NN1 #LI-Remote\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, SaaS, Git and Engineer jobs that are similar:\n\n
$55,000 — $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
\n\n#Location\nBangalore, Karnataka, India
👉 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
