Data Engineer
RevenueBase Inc
WorldwideremotePosted 8 days ago
R
Skill Required
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Key highlights
- Competitive compensation based on experience.
- 3+ years of professional data engineering experience required.
- Fully remote‑friendly team with flexible working hours.
- Must have hands‑on DBT experience.
- Growth‑stage company with clear product‑market fit.
- Direct collaboration with founders and core engineering leadership.
Role overview
RevenueBase is building the data infrastructure that makes AI agents trustworthy rather than error‑prone, providing continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. The data engineer will own pipelines end‑to‑end, maintain high data quality, ensure reliability as the platform scales, and provide support to B2B customers whose workflows depend on accurate data.
Responsibilities
- 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.
Requirements
- 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.
- 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.
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.
Benefits
- 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.
Additional details
- RevenueBase provides continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
- The company has tripled growth while maintaining 100% gross dollar retention and staying cash‑flow positive.
- RevenueBase powers AI agents for Clay, ZoomInfo, Dun & Bradstreet, and the next generation of AI GTM tools.
- 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.
- Originally posted on Himalayas.