Data Engineer

Stack

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
• ▹Provide 2nd line support for B2B customers: investigate data issues and clarify edge cases
• ▹Design and implement new data import pipelines as data source coverage expands
• ▹Implement data quality improvements: validation, monitoring and testing
• ▹Contribute to code reviews and architectural discussions

Requirements

• ▹3+ years of professional data engineering experience
• ▹Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles
• ▹Must have: hands-on DBT experience building and maintaining transformation pipelines
• ▹Solid understanding of data quality principles, testing strategies and monitoring practices
• ▹Comfortable working in a fast-moving, remote-first environment

Nice to have

• ▹Snowflake
• ▹Databricks
• ▹AWS (S3, Lambda, Glue, etc.)
• ▹Prefect or similar orchestration tools (Airflow, Dagster)

Soft skills

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

About the company

RevenueBase provides continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. It has tripled its growth while staying cashflow positive.