Data Engineer

Stack

Responsibilities

• ▹Build and maintain production data pipelines (DBT, Snowflake)
• ▹Own data engineering features end-to-end
• ▹Fix existing pipelines and improve performance
• ▹Drive automation initiatives across the data stack
• ▹Implement data quality validation and monitoring

Requirements

• ▹3+ years of professional data engineering experience
• ▹Strong fundamentals in SQL, data modeling, Python and ETL/ELT
• ▹Hands-on DBT experience required
• ▹Understanding of data quality principles and testing strategies
• ▹Strong communication with technical and non-technical stakeholders

Nice to have

• ▹Snowflake, Databricks
• ▹AWS (S3, Lambda, Glue)
• ▹Prefect, Airflow or Dagster

Soft skills

What we offer

• ▹Flexible working hours
• ▹Fully remote team
• ▹Direct collaboration with founders

About the company

RevenueBase provides continuously refreshed, verified B2B data for autonomous AI agents, powering agents for customers such as Clay, ZoomInfo and Dun & Bradstreet.