Data Engineer

Work Type: Full Time

Drivetrain is on a mission to enable businesses to make better decisions. Our financial planning & decision-making platform helps businesses scale and achieve their targets predictably.

The company was founded by ex-Googlers in 2021 and is backed by leading venture capital firms. Headquartered in Georgia, USA, Drivetrain is a remote-first company.

About the role

Drivetrain is looking for a Data Engineer to join our team. The role enables you to lay  the foundation of an exceptional data engineering practice. The ideal candidate will be confident with a programming language of their choice, be able to learn new technologies quickly, have strong software engineering and computer science fundamentals and have extensive experience with common big data workflow frameworks and solutions. 

Life at Drivetrain

Drivetrain provides a great culture for engineers to thrive in and be happy. 

  • Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust them to do the right thing.

  • Open & transparent:  When creators have access to all the information they need, the best product can emerge.

  • Idea-friendly:  We provide an environment to explore,  to take risks, to make mistakes and to learn, so you can succeed. Anyone can come up with great ideas and bring about a change. We let the best ideas win.

  • Customer-centric:  We constantly learn from our customers and collaborate to build the amazing software that Drivetrain is.

What you’ll be doing

  • Build and monitor large-scale data pipelines that ingest data from a variety of sources.

  • Develop and scale our DBT setup for transforming data.

  • Work with our data platform team to solve customer problems.

  • Use your advanced SQL & big data skills to craft cutting edge data solutions.


  • 1-5+ years in a data engineering role(high-growth startup environments highly preferred).

  • Expert-level SQL skills.

  • 1 year experience in DBT is required.

  • At least 1 year experience with a leading data warehouse is required.

  • Expertize with big data technologies like Hadoop, Spark, Druid preferred.

  • Track record of success in building new data engineering processes and an ability to work through ambiguity .

  • Willingness to roll up your sleeves and fix problems in a hands-on manner.

  • Intellectual curiosity and research abilities.

Sounds exciting? Write to us at

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