Data Engineer
RevenueBase Inc
RemoteRemoteFull TimeFebruary 10, 2026
Job Description
REVENUEBASE:
- We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.
- We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
- We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
- We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools.
WHY WE'RE HIRING THIS ROLE:
- Our data platform is scaling rapidly, and we need engineer who can own pipelines end-to-end, keep data quality high, and ensure reliability as we grow.
- This role exists to strengthen our data infrastructure, accelerate delivery through automation, and ensure our B2B customers receive accurate, timely data they can trust. http://trust.You
- You'll work on data systems that directly power customer workflows - where pipeline reliability and data quality directly impact retention.
WHAT YOU'LL DO:
- Build and maintain production-ready data pipelines using DBT, Snowflake, and modern orchestration tools.
- Own data engineering features end-to-end, from implementation through optimization and deployment.
- Fix and improve existing pipelines - identify bottlenecks, resolve issues, and enhance performance.
- Drive automation initiatives across the data stack to accelerate delivery and reduce manual interventions.
- Provide 2nd line support for B2B customers - investigate data issues, clarify edge cases, and ensure customers can trust their data.
- Design and implement new data import pipelines as we expand our data source coverage.
- Implement data quality improvements - validation, monitoring, and testing to ensure reliable, accurate data delivery.
- Contribute to code reviews, architectural discussions, and data engineering best practices.
Who You Are:
- You have 3+ years of professional data engineering experience.
- Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles.
Must have:
- DBT - hands-on experience building and maintaining transformation pipelines
Nice to have:
- Snowflake
- Databricks
- AWS (S3, Lambda, Glue, etc.)
- Prefect or similar orchestration tools (Airflow, Dagster)
- Solid understanding of data quality principles, testing strategies, and monitoring practices.
- Comfortable working in a fast-moving, remote-first environment.
- Strong communicator - able to explain technical issues clearly to both technical and non-technical stakeholders.
- Async-first mindset - can work independently, document decisions, and keep stakeholders informed without constant synchronous communication.
- End-to-end ownership mentality - you see tasks through from planning to production, handling blockers and follow-through.
- You care about data quality, pipeline reliability, and long-term maintainability.
Why RevenueBase:
- Product with real traction: Customers rely on our platform in production.
- High ownership: Small team where your work directly shapes the product.
- Engineering-driven culture: Quality and correctness matter.
- Growth stage company: Clear product-market fit and momentum.
- Impact over process: Less bureaucracy, more building.
WHAT WE OFFER:
- Competitive compensation based on experience.
- Meaningful ownership and long-term growth opportunities.
- Flexible working hours.
- Fully remote-friendly team.
- Direct collaboration with founders and core engineering leadership.
- We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.
- We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
- We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
- We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools.
WHY WE'RE HIRING THIS ROLE:
- Our data platform is scaling rapidly, and we need engineer who can own pipelines end-to-end, keep data quality high, and ensure reliability as we grow.
- This role exists to strengthen our data infrastructure, accelerate delivery through automation, and ensure our B2B customers receive accurate, timely data they can trust. http://trust.You
- You'll work on data systems that directly power customer workflows - where pipeline reliability and data quality directly impact retention.
WHAT YOU'LL DO:
- Build and maintain production-ready data pipelines using DBT, Snowflake, and modern orchestration tools.
- Own data engineering features end-to-end, from implementation through optimization and deployment.
- Fix and improve existing pipelines - identify bottlenecks, resolve issues, and enhance performance.
- Drive automation initiatives across the data stack to accelerate delivery and reduce manual interventions.
- Provide 2nd line support for B2B customers - investigate data issues, clarify edge cases, and ensure customers can trust their data.
- Design and implement new data import pipelines as we expand our data source coverage.
- Implement data quality improvements - validation, monitoring, and testing to ensure reliable, accurate data delivery.
- Contribute to code reviews, architectural discussions, and data engineering best practices.
Who You Are:
- You have 3+ years of professional data engineering experience.
- Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles.
Must have:
- DBT - hands-on experience building and maintaining transformation pipelines
Nice to have:
- Snowflake
- Databricks
- AWS (S3, Lambda, Glue, etc.)
- Prefect or similar orchestration tools (Airflow, Dagster)
- Solid understanding of data quality principles, testing strategies, and monitoring practices.
- Comfortable working in a fast-moving, remote-first environment.
- Strong communicator - able to explain technical issues clearly to both technical and non-technical stakeholders.
- Async-first mindset - can work independently, document decisions, and keep stakeholders informed without constant synchronous communication.
- End-to-end ownership mentality - you see tasks through from planning to production, handling blockers and follow-through.
- You care about data quality, pipeline reliability, and long-term maintainability.
Why RevenueBase:
- Product with real traction: Customers rely on our platform in production.
- High ownership: Small team where your work directly shapes the product.
- Engineering-driven culture: Quality and correctness matter.
- Growth stage company: Clear product-market fit and momentum.
- Impact over process: Less bureaucracy, more building.
WHAT WE OFFER:
- Competitive compensation based on experience.
- Meaningful ownership and long-term growth opportunities.
- Flexible working hours.
- Fully remote-friendly team.
- Direct collaboration with founders and core engineering leadership.