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Soda is looking for a proven VP of Engineering to strengthen our leadership team. You will work alongside our leadership team and report directly to the CPO, working closely the product team to accelerate the delivery of the upcoming product features across Data Observability and Data Testing.
Your primary responsibility will be leading the engineering team and ensuring high velocity and alignment between architectural decisions and the product roadmap, ultimately creating operational excellence in engineering. You will frequently jump in with the team to resolve critical engineering challenges and spend at least 50% of your time with hands-on implementation. You'll help build a great freaking product.
Responsibilities:
Ensure fast delivery of product features by structuring engineering work, best practices, and processes.
Oversee architectural decisions to enable fast and reliable delivery in the coming years.
Resolve critical engineering problems hands-on and establish technical credibility by leading by example.
Make hiring decisions, define recruitment needs, and manage all the engineers.
Enable ownership and a proactive, product-focused culture in the engineering team.
Work closely with the CPO and the product team to stay aligned with the company's vision and long-term growth.
Develop a deep understanding of the data quality space and our customers’ challenges.
Build tight and effective relationships across engineering and the company to ensure transparent and clear communication.
Technical:
Deep understanding of and extensive experience applying modern architectural design principles, extending to service architectures and full multi-tenanted SaaS product development.
Experience in broad-based API integration, extending to integrating with legacy systems quickly and without performance issues.
Expertise and experience in building robust, scalable B2B products with related requirements.
Appreciation for UX and UI, focusing on developing products that delight the user and are intuitive.
Experience putting ML systems in production.
Computer science or Engineering degree or other relevant educational background
Industry:
Technical and engineering leadership building data-centric Software, extending to technical/engineering leadership of modern data infrastructures (e.g., data orchestration and data warehouses).
Experience building products deployed internationally in venture-backed environments and the related entrepreneurial mindset.
Leadership:
Track record of leading highly technical engineering teams, defining and executing a technology roadmap.
Experience in building, leading, and scaling engineering and development teams, ideally including remote and distributed teams.
Well-versed in designing feature-based, autonomous engineering teams with meshed DevOps.
Product engineering mindset and proven track record of successfully working with product managers, research, and designers.
Strong experience in implementing engineering processes and people development with the engineering function.
You have exceptional communication skills in English - both oral and written. You articulate technology vision, delivery strategy, and essential tradeoffs in a language that enables discussion with technical and non-technical audiences.
Strong experience contributing to, setting, and executing technical and engineering strategies at product and organizational levels.
A strong strategic mindset that allows you to combine the business's short-, medium- and long-term direction.
Experience working with Founders to deliver on product vision.
About Soda
Soda helps customers detect, resolve, and prevent data quality issues by combining automated post-production monitoring with pre-production pipeline data testing. We enable Data Engineers to effectively own DQ by “shifting left” the data quality initiatives from business to engineering.
Soda was founded in 2019 by Maarten, an employee #5 in Collibra, where he worked in Go-To-Market leadership, and Tom, who launched multiple OSS projects that generated 100s Million in value. Together, they built a tool that ensures data quality across Data Engineering, Data Governance, and business use cases.
Soda’s product offering consists of an open-source project called Soda Core, which is used by companies like Tesla, Slack, Adyen, Walmart, and JPMC. Soda commercializes its software through the Soda Cloud product. We're well-funded, with investors like Point 9 Capital, Hummingbird, Singular, and Eurazeo.
This is a unique opportunity to shape the Data Quality software used by Data Engineers for the decades to come.
Our Values
We value freedom with responsibility, transparency, and a growth mindset. We dislike politics and bullshit and value open and direct communication without judgment. We proactively bring up and address potential issues before they become critical and overcommunicate frequently. Working at Soda, you will have full autonomy to make impactful product and roadmap decisions and prioritize and organize your work how you see fit.
❤ Why you will love to join Soda
Working with a fast-growing international VC-funded startup with a flat structure
You will have full ownership of the things you work on
An international and diverse team
Fully remote, flexible work, with as many opportunities to meet up as you want!
Open Source Product with all the perks that come with that
😡 What you might not love
Fast-paced environment with a LOT of work to be done
You will have to learn new things all the tim
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Salary and compensation
$140,000 — $250,000/year
Benefits
🌎 Distributed team
🏖 Paid time off
🏔 Company retreats
💰 Equity compensation
👀 No monitoring system
🚫 No politics at work
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Plutus and want to re-open this job? Use the edit link in the email when you posted the job!
We are seeking a skilled Data Warehouse Engineer to join our data team. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions using dbt, Fivetran, and Braze. You will play a key role in building and optimising data pipelines, ensuring data quality, and supporting our business intelligence and marketing efforts through seamless data integration and automation.As a Data Warehouse Engineer, you will collaborate with data analysts, engineers, and marketing teams to ensure that data flows smoothly between different systems, creating a robust infrastructure that drives business insights and customer engagement.
Key Responsibilities:
Data Pipeline Development: Design, build, and maintain ETL/ELT data pipelines using Fivetran to integrate various data sources into the data warehouse.
Data Modeling with dbt: Develop and maintain data models and transformations using dbt (Data Build Tool) to optimise the structure of the data warehouse for analytics and reporting.
Braze Integration: Work closely with the marketing team to integrate Braze for personalised customer engagement, ensuring smooth data flow between the warehouse and the platform.
Data Warehouse Management: Maintain and optimise the performance of the data warehouse (e.g., Snowflake, BigQuery, Redshift) by managing schema design, partitioning, and indexing.
Data Quality and Monitoring: Implement data quality checks, conduct audits, and monitor pipeline health to ensure reliable and accurate data delivery.
Collaboration: Work closely with data analysts, BI teams, and marketing to understand data needs, improve data availability, and deliver actionable insights.
Automation & Optimisation: Implement automation for data ingestion, transformation, and orchestration to improve operational efficiency and reduce manual intervention.
Documentation & Best Practices: Create and maintain comprehensive documentation of data architecture, pipeline processes, and best practices for future reference and onboarding.
Troubleshooting & Support: Identify, investigate, and resolve data-related issues in a timely manner.
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Salary and compensation
$50,000 — $50,000/year
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Lemon.io and want to re-open this job? Use the edit link in the email when you posted the job!
We also have an ASAP project for a Senior Backend Developer for an AI GRC company (Python and Node.js) (only European timezone) with a rate up to $40/hour.
Are you a talented senior engineer looking for a remote job that lets you show your skills and get better compensation and career growth? Look no further than Lemon.io - the marketplace that connects you with hand-picked startups in the US and Europe.
What do we offer:
- We respect your time: here is no micromanagement or screen trackers. - You can earn with us $5k - $8.5k monthly - the rate depends on your skills and experience. We've already paid out over $10M to our engineers. - You will enjoy your work - it’s possible to communicate async and choose a schedule that works best for you. - You will communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? - We will support you from the time when the application will be started during all our cooperation. - No more hunting for clients or negotiating rates - let us handle the business side of things so you can focus on what you do best. - We'll manually find you the best project according to your skills and preferences. - You will work at the fast-paced startup environment that will keep you motivated and engaged. - We will connect you with the best developers in the world through our community.
We also collaborate with other companies through staff augmentation. More details are [here](https://lemon.io/partnership-with-lemonio/).
Who we are looking for:
- Senior/Senior+ Data Scientist & Data Engineer.
Also we are seeking for:
- Senior/Senior+ ML & Data Scientist - Senior/Senior+ AI & Data Scientist - Senior/Senior+ AI & ML
Requirements:
- Proven experience in either Data Science or Data Engineering, with a minimum of 3 years of hands-on experience. - At least 2 years of commercial experince with AI/ML. - Hands-on experience with Python. - Experience with AWS/GCP/Azure, SQL, and Airflow is a must - Familiarity with NoSQL databases. - Hands-on experience with the following technologies Spark, Hadoop, PowerBI, and Lookeri BigQuery would be a huge plus. - Ability to work with large datasets and write efficient code capable of processing and analyzing data at scale. - Strong analytical and problem-solving skills, with the ability to extract insights and patterns from complex data. - Good command of English, both written and spoken, as you’ll be communicating with clients directly - Strong organizational skills — ability to work full-time remotely with no supervision - Responsibility — we want to trust you - Soft skills — we value clear and effective communication, at the same time, don't force you becoming a public speaker
ALSO, we have a large number of different projects for Senior Full-Stack Developers, so if you have 4+ years of commercial experience in software development you are fluent with Python, Ruby on Rails, React.js or React Native - we would be happy to communicate and provide you a project which matches with your experience. Just apply, and we will share with you more details.
Ready to take your career to the next level? Apply now and join the Lemon.io community!
If your experience matches with our requirements be ready for the next steps:
- VideoAsk (about 10 minutes) - Completing your me.lemon profile - 30 minutes Screening call with our Recruiters - Technical Interview with our Developers - Feedback - Magic Box (we are looking for best project for you)
P.S. We work with developers from 59 countries in different regions: Europe, LATAM, Asia (Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), Canada and the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from certain European countries: Albania, Belarus, Bosnia and Herzegovina, Croatia, Iceland, Liechtenstein, Kosovo, Montenegro, North Macedonia, Russia, Serbia, and Slovenia. Additionally, there are a few countries in Latin America from which we cannot accept applicants: Cuba and Nicaragua, as well as most Asian countries. Furthermore, we are unable to accept applicants from Africa.
Please note that due to the overwhelming number of applications, only suitable candidates will be contacted for an interview.
We strongly ask you to send your CVs in ENGLISH. Application in English will be considered first. Good luck to everyone!
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Salary and compensation
$60,000 — $90,000/year
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
Talent has no borders. Proxify's mission is to connect top developers around the world with opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂
Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 3500+ talented developers trust Proxify and its network to fulfill their dreams and objectives.
Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.
The Role:
We are looking for a Senior Data Engineer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we are looking for:
+5 years of solid experience as a Data Engineer in top-notch environment.
+3 years of experience with Cloud Infrastructures (e.g. Azure or AWS), virtualisation and containerisation environments (e.g. VMware, Docker, Kubernetes).
Strong knowledge of software development processes including testing, continuous integration/delivery, automated deployment and verification/maintenance.
High-degree of ambition for self-improvement and self-initiative.
Ability to work with minimal supervision.
Intermediate-advanced English level.
You can communicate well with both technical and non-technical clients.
Nice-to-have:
Experience in data warehousing and data modeling.
Solid understanding of relational database systems.
Knowledge in working with Apache Spark.
Time zone: CET (+/- 3 hours).
Azure certifications in Cloud development and architecture would be a plus.
Responsibilities:
Competency in Implementing the best practices in AI/ML development to ensure the data pipelines and solutions are:
Effectively and efficiently tailored towards specific applications (automated processes on hybrid cloud/on-prem infrastructure).
Scalable and maintainable to address an extensive customer community.
Secure “on-prem” to protect the client’s IP.
Knowledgeably built with the infrastructure upon which the prediction models will run.
What Proxify offers
Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote engagements at the world's most interesting product companies.
Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched engagements.
Fast-track your independent developer career Start small and gain more freedom to take on new engagements as you build your independent developer career.
A recruitment process that values your time Only one hiring process with the possibility of several positions, without any additional tests.
Please mention the word PERMISSIBLE when applying to show you read the job post completely (#RMTMuNTguNzMuMjI=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
👉 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.
This job post is closed and the position is probably filled. Please do not apply. Work for Proxify and want to re-open this job? Use the edit link in the email when you posted the job!
About us:
Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂
Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 3500+ talented developers trust Proxify and its network to fulfill their dreams and objectives.
Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs.
The Role:
We are looking for a Senior Data Engineer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we are looking for:
+5 years of solid experience as a Data Engineer in a top-notch environment.
+3 years of experience with Cloud Infrastructures (e.g. Azure or AWS), virtualization, and containerization environments (e.g. VMware, Docker, Kubernetes).
Strong knowledge of software development processes including testing, continuous integration/delivery, automated deployment, and verification/maintenance.
High degree of ambition for self-improvement and self-initiative.
Ability to work with minimal supervision.
Intermediate-advanced English level.
You can communicate well with both technical and non-technical clients.
Nice-to-have:
Experience in data warehousing and data modeling.
Solid understanding of relational database systems.
Knowledge in working with Apache Spark.
Time zone: CET (+/- 3 hours).
Azure certifications in Cloud development and architecture would be a plus.
Responsibilities:
Competency in Implementing the best practices in AI/ML development to ensure the data pipelines and solutions are:
Effectively and efficiently tailored towards specific applications (automated processes on hybrid cloud/on-prem infrastructure).
Scalable and maintainable to address an extensive customer community.
Secure “on-prem” to protect the client’s IP.
Knowledgebly built with the infrastructure upon which the prediction models will run.
What Proxify offers
Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote engagements at the world's most interesting product companies.
Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched engagements.
Fast-track your independent developer career Start small and gain more freedom to take on new engagements as you build your independent developer career.
A recruitment process that values your time Only one hiring process with the possibility of several positions, without any additional tests.
Please mention the word IMPROVEMENTS when applying to show you read the job post completely (#RMTMuNTguNzMuMjI=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$50,000 — $80,000/year
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Paperpile and want to re-open this job? Use the edit link in the email when you posted the job!
Description
Paperpile helps researchers to find, organize, read, and write academic papers.
Our user base is growing fast, and so is the team around it.
As part of a small team, everything you do matters. You only work on stuff that has a direct big impact on the product and our customers.
Work from anywhere on your own schedule. As a remote-first company, we communicate with tools like Slack, Figma, and Notion to move our product forward fast.
Work with an interesting and diverse community of academics. Our customers use Paperpile to study climate change, cancer, or medieval history. You interact with them directly to understand how we can make their work more productive.
Our backend infrastructure stores, processes, and searches hundreds of millions of academic articles. We use Node.js, TypeScript, MongoDB, ElasticSearch, and AWS.
You will take responsibility for substantial parts of our codebase to provide a fast and reliable backend for all our products (web, mobile, desktop). You can also work on data-heavy projects, including applications of large language models and AI.
Requirements
You can work independently and write clean, reusable, and testable code.
You can work and communicate within a Scrum team and produce production-ready code efficiently and on time.
You know Node.js, TypeScript/JavaScript, or have used a different backend stack and want to learn Node.js/TypeScript.
You have worked on data-heavy applications before and have experience with the required database and backend technologies.
You can design and implement REST APIs.
More useful experience (optional):
AWS, ElasticSearch, MongoDB, Linux
Basic data science skills (web scraping, data transformations, data cleaning, data normalization, ...)
AI and language models
Background in research or academia
Benefits
Base compensation €40,000-€72,000 based on the level of your experience (plus variable bonus).
4 weeks paid vacation + local holidays.
Learn and grow. Try out new things. We sponsor relevant courses, seminars, and conferences.
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Salary and compensation
$40,000 — $80,000/year
Benefits
🌎 Distributed team
🏖 Paid time off
📚 Learning budget
🖥 Home office budget
⬜️ No whiteboard interview
👀 No monitoring system
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for iVisa and want to re-open this job? Use the edit link in the email when you posted the job!
We’re growing! Don't miss the opportunity to be part of our global team as our Data Engineer
About us:
At iVisa we believe that traveling should be simple. That’s why over 1.1 million travelers have chosen us to facilitate their photos, passports, visas, and other travel documents. We are the easiest, fastest, and simplest solution in the market. Our company is growing 100% year on year. We know our biggest strength is our people and we’re looking for the right new team members to help propel our culture and achieve our goals. Above all else, we always have fun!
If you are passionate about data, technology and generating value based on data to solve business questions, this role is perfect for you. In the Data & Analytics team we have the responsibility to develop solutions to cover the Data Lifecycle with a special focus on monetization and support business users in the process of making better informed decisions.
What would you do?
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
What are we looking for?
2 years minimum experience working with Pandas and Numpy for data processing.
At least 2 years experience working with ETL and data modeling tools.
1 year minimum experience working with Airflow for scheduling and monitoring of data extraction, loading and transformation tasks as well as batch processes.
At least 4 years experience using SQL for analytical query generation (aggregations, moving windows, sorting and joins).
Minimum 2 years experience working with Linux based operating systems such as Ubuntu, RedHat OS, PopOS, ZenOS and others.
Experience working with programming languages such as C++, Java, or Python.
Experience with cloud computing and services such as Redshift, S3, EC2
What we offer?
Remote-first: work from everywhere.
The opportunity to collaborate and learn from Data Analysts , UX Designers, Software Developers, Engineers and many other experts.
Work in a hyper-growth, dynamic and international environment. Run in a highly tech-minded company with top of line tools.
The opportunity to help build a company that will continue to redefine the travel industry.
Transparent company culture with flat hierarchies (and super cool coworkers).
Lots of responsibility and a real chance to make an impact.
iVisa ensures equal employment opportunity to all employees and applicants without discrimination or harassment based on race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, marital status or medical condition.
Please mention the word BRILLIANCE when applying to show you read the job post completely (#RMTMuNTguNzMuMjI=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$40,000 — $60,000/year
Benefits
🌎 Distributed team
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Wander and want to re-open this job? Use the edit link in the email when you posted the job!
Wander is a growing, fast-paced startup hiring a full-time Data Engineer to help build our data infrastructure. Data is quickly becoming a core part of Wander’s business and will be key in unlocking massive growth and discovering new opportunities. We are looking for someone who is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. As the founding member of this team, you will get to work on every side of the data stack and lay the foundation for the rest of our business to build upon.
If you are passionate about software design, development, travel, smart home tech, and have 3+ years of development experience, please apply today!
Requirements
3+ years of professional development experience
Advanced SQL knowledge and experience working with relational databases (Postgres, MySQL)
Experience building and optimizing data pipelines, architectures, and data sets
Build processes supporting data transformation, data structures, and workload management
Working knowledge of message queuing, stream processing, and highly scalable data stores
Strong analytic skills
Experience performing root cause analysis on internal and external data and processes
Experience with data pipeline & workflow management tools (e.g., Airflow, Fivetran, Census, Hightouch, etc.)
Experience building BI dashboards (Superset, Cube.js, Tableau, Looker, etc.)
Experience with data modeling tools like DBT
Experience with data warehouses (Snowflake, Big Query, Redshift)
Experience with object-oriented/object function scripting languages (Python and Typescript preferred)
Strong work ethic, self-directed
Passion for building
Eye for detail
You will need to be able to build
Data pipelines for marketing, finance, operations, and other parts of the business
Business dashboards
Clean datasets for easy analysis
Create data tools to help build our product into an industry leader
Work with tools like Segment to implement event tracking
Tech Stack
Our data stack is in its infancy, so you will play a critical role in helping build out our infrastructure (and team) and deciding what technologies we should use. Currently, we use Segment, Big Query, and Airbyte.
Our app and backend are end-to-end Typescript. With NextJS for our web app and React Native for our mobile apps. Our API is provided by a GraphQL interface and interfaces with a PostgreSQL database via Prisma.
About Wander
Wander is verticalizing the 100b+ short-term rental industry. We own the demand, booking, smart home technology, home management, and the homes themselves, creating an unmatched guest experience.
Our mission is to help people find their happy place. Our vision is to create the infrastructure for people to experience the world.
We are backed by legendary investors and have a team of experienced startup operators. We are a tight-knit team with a strong work ethic with a common goal of building a lasting company.
Benefits
Medical, dental, and vision benefits covered 100% by Wander
401k
Equity in Wander
We are an Equal Opportunity employer. All qualified applicants will receive consideration without discrimination because of sex, gender identity, gender expression, sexual orientation, marital status, race, color, age, national origin, military status, religion, disability or any other legally protected status.
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Salary and compensation
$10,000 — $100,000/year
Location
Worldwide
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Agot AI and want to re-open this job? Use the edit link in the email when you posted the job!
Agot is a leading AI startup that is changing the way the world’s largest restaurant brands serve customers. Our technology is on the cutting-edge of computer vision, deep learning, and AI. We’ve raised $14M in seed funding to solve some of the most difficult and prevalent problems in the food industry. And we have pilots with the most recognized restaurant brands in the world, many who are invested in us.
Our Engineering team is building a scalable, edge-based AI product already deployed in many locations around the world. We’re looking for seasoned Backend Engineers to lead the charge on scalable, beautiful architecture and services. Some of the tools we use right now include Python, Docker, Kubernetes, Rust, and more. We are a distributed team, and open to hiring the right person anywhere in the world.
What you’ll be doing:
Build and maintain backend services in Python (or the right language of your suggestion)
Build backend apps handling petabytes of video data
Lead architectural decisions around our overall services-oriented architecture
Define new services, their boundaries, and cross-service components (such as shared memory stores, message brokers i.e. RabbitMQ, etc.)
Improve tooling, testing, automation to ensure production-quality backend deployments
You may be a good fit if you:
Have 5+ years of experience writing and maintaining backend services
Experience with AWS and its tools
Worked in some of the following languages: Python, Golang, C/C++, Rust, Elixir, etc.
Work cross-functionally and interface with customers or vendors
Are comfortable with Linux / Unix environments
Led teams of other engineers before as a manager or team lead
Benefits:
Competitive compensation
Flexible remote work
Unlimited PTO
Comprehensive medical / dental / vision insurance in the US
Free office lunches
Fitness / gym benefit
Please mention the word CAPTIVATING when applying to show you read the job post completely (#RMTMuNTguNzMuMjI=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$50,000 — $200,000/year
Benefits
🌎 Distributed team
🏖 Unlimited vacation
💪 Free gym membership
💰 Equity compensation
Location
Worldwide
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for BaseCap Analytics and want to re-open this job? Use the edit link in the email when you posted the job!
Data is at the heart of cost efficiency, business processes, and decisioning. Digitally savvy firms have an edge to benefit from new technologies.
BaseCap is a rapid-growing software company that helps organizations improve their data quality twice as efficiently, compared to existing solutions. We created a software platform that frees up teams from cleaning and setting up data and allows them to focus on creating accurate, actionable insights for their company.
As a Data Delivery Engineer, you will be responsible for executing solutions that meet client needs. You will be the primary technical contact at client sites and will be responsible to complete technical proof of concepts, building and maintaining mission critical data pipelines, and sizing future development projects.
Responsibilities
Present audience-appropriate explanations of data engineering practices to technical teams
Work hands-on to create proofs-of-concept to demonstrate ideas and concepts that may be foreign to customers or prospects
Build environments for storing raw data, utilizing Azure Data Lake Storage, SQL server, Blob Storage and other technologies
Implement data warehouses and analysis services as part of a modern data warehouse (MDW) design
Utilize tools such as Azure Data Factory, Azure Functions, and Azure Stream Analytics to perform data orchestration and transformation
Live and breathe the corporate values fueling our success and make us who we are
Qualifications
Expert experience with SQL, including ability to understand, edit, or maintain existing stored procedures
Experience building and maintaining pipelines in ADF. This is a hard requirement.
Experience building/maintaining environments for storing raw data including Azure Data Lake, SQL server, Blob Storage and other technologies
Experience with other Microsoft Azure services, including
Azure Data Lake Storage
CosmosDB
Azure Databricks
Experience with other NoSQL storage, document databases, and graph databases is a plus
Experience with Spark SQL or Hive SQL is a plus
Experience working with customers to elicit business requirements and demonstrate technical concepts in an understandable fashion
Willingness to learn in a high-paced environment
Ability to embrace feedback and hold yourself accountable
This role can be performed remotely from anywhere in the US
Please mention the word FERVIDLY when applying to show you read the job post completely (#RMTMuNTguNzMuMjI=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$100,000 — $130,000/year
Location
United States
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Arrakis and want to re-open this job? Use the edit link in the email when you posted the job!
TL;DR: organize the world's healthcare information at a Healthcare Data Start-up helping new Healthcare technologies get adopted by doctors quickly.
Our Company: we build data and software tools for sales and marketing teams that sell healthcare products, to ensure that adoption of new technologies is not a limiting factor to improving patients' quality of life. We're a well-funded and experienced 6-person team with rapidly growing and happy customers.
Our Product: is a database of every person and organization in the US Healthcare system, with detailed information on each entity and their relationships to each other.
Your Mission: is to ensure we provide high quality data to our clients. This means finding and integrating new sources of data, building methods to QA data, and creating new data features.
The role would suit someone who wants to work at a company where Data is the Product, and therefore where their work has direct customer impact.
Our Team:
Sam (CEO) Co-Founded a Clinical Diagnostics Lab that raised $14 million from YC and A16z.
Sav (CTO) was the CTO of a start-up which he scaled to $50M in revenue.
Nike (Founding Engineer) built and led the Huffington Post's remote engineering team.
Denis (Engineer) was lead Dev Ops engineer at a successful Real Estate start-up
Martin (Engineer) has been the software lead / CTO at multiple start-ups.
Rayhnuma (Head of Business Operations) was a senior product owner at a Healthcare Data Company.
What we're looking for:
You love data. You'd be crunching numbers even if you weren't paid to do it.
Programming. You should have an extremely strong handle on data manipulation.
Data Engineering XP. You have broad experience across Data Engineering (pipelines, data extraction, warehousing etc).
Manager of 1. You enjoy and are able to work on large ambiguous projects with minimal direction.
Low ego. You give and receive feedback easily, and assume good intent.
Remote Experience. You are comfortable working with teammates and customers across large time zone differences.
Interest in Healthcare. You are, or are interested in becoming, a domain expert in Healthcare.
What We Offer:
Transparency, trust and integrity. We are honest, principled, and treat others as we would like to be treated.
Remote-first. We are global team that adheres to remote-first best practices.
Talented Coworkers. Who are a pleasure to work with.
Generous Stock Options. We're early in our start-up journey so can offer potentially life-changing equity grants.
Mission-driven. An opportunity to quantifiably improve human life.
Fun. Serious work does not have to be done seriously. Life is short.
Please mention the word PERMISSIBLE when applying to show you read the job post completely (#RMTMuNTguNzMuMjI=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$100,000 — $120,000/year
Location
Worldwide
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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