# Data Engineer - Company: [Revenuebase Inc]() - Location: Remote - Team: Engineering - Employment type: Full Time - Posted: February 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. ## Apply [Apply on Revenuebase Inc]() Canonical job page: