RevenueBase

Data Engineer

RevenueBase

full-time

Posted on:

Location Type: Remote

Location: United States

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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.
  • 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
  • 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.
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata modelingPythonETLELTDBTdata qualitytesting strategiesmonitoring practicesdata pipelines
Soft Skills
problem-solvingcommunicationcollaborationadaptabilitycustomer support