Data Engineer

Remote. Posted 9 months ago

The role

You will build and maintain production-ready data pipelines using DBT, Snowflake, and modern orchestration tools. You will own data engineering features end-to-end and drive automation initiatives to ensure reliable B2B data delivery.

What you will 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.
Drive automation initiatives across the data stack.
Provide 2nd line support for B2B customers.
Design and implement new data import pipelines.
Implement data quality improvements through validation, monitoring, and testing.
Contribute to code reviews, architectural discussions, and data engineering best practices.

Required qualifications

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

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.

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.

About the company

RevenueBase builds data infrastructure that makes AI agents trustworthy. They provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.