Data Engineer

About RevenueBase

RevenueBase is 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

Our data platform is scaling rapidly, and we need an 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. 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

• 3+ years of professional data engineering experience
• Strong fundamentals in SQL, data modeling, Python, and ETL/ELT principles
• Must have: Hands-on experience building and maintaining transformation pipelines with DBT
• Nice to have: Snowflake, Databricks, AWS (S3, Lambda, Glue), or orchestration tools like Prefect, Airflow, or Dagster

💰 Compensation not publicly listed. Market estimate for similar roles: from $130K, varying by experience and location.