RevenueBase is a B2B data infrastructure company that delivers production-ready data, cleans and enriches your existing records, and helps you discover what's missing. Backed by Bessemer.
About the role
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.
What they're looking for
- You have 3+ years of professional data engineering experience
- Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles
- DBT - hands-on experience building and maintaining transformation pipelines
More about this role
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.
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 .
You'll work on data systems that directly power customer workflows - where pipeline reliability and data quality directly impact retention.
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...
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