Data Engineer

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.