Data Engineer - Databricks
Summary
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, SQL, PySpark, AWS, and Databricks to deliver clean data solutions for enterprise clients.
Data Engineer - Databricks at Lumenalta
We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.
What You'll Do
- Join the team as a Senior‑Level Data Engineer
- Build and maintain robust ETL pipelines from scratch
- Work with large, complex datasets using Python and raw SQL
- Use tools like PySpark, AWS, and Databricks daily
- Deliver data solutions that drive business outcomes for enterprise clients
What We're Looking For
- 7+ years of experience as a Data Engineer
- Strong Python and SQL skills
- Hands‑on experience with PySpark, AWS, and Databricks
- Fluent in English (spoken and written)
The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.
This is a fully remote position open to candidates based in Europe or regions with compatible time zones. To ensure effective collaboration with our client and team, candidates must maintain a 6‑hour overlap with Eastern U.S. business hours.
This is an evergreen opening with no set deadline; we’re always excited to connect with professionals who want to help us build the future.