Jobs in McLean, VA

About the role

As a Senior Data Engineer at Range, you’ll be the technical owner of Range’s data infrastructure at a pivotal moment. We’ve grown organically and have different warehouses and a patchwork of ingestions, processes and standards. We’re building the platform, practices and core data model that the next stage of growth depends on. You’ll define the standards, architecture and foundational data model that will shape how we leverage data for years. You’ll also build governance into the foundation that supports our current regulations and the ones we are growing into. This role is ideal for a senior data engineer who's done this before with strong opinions on dimensional modeling and data architecture, comfortable making the foundational calls in a fast-moving environment where the data is regulated. We're excited to hire this role at Range's Headquarters in McLean, VA. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in the area, but love what you see, let’s discuss relocation as part of your journey to joining us.

What you'll bring

• 5+ years of experience in Data Engineering, including time as the most senior data engineer on a team or workstream.
• Production experience with a modern data toolset including dbt, a cloud warehouse or lakehouse, and modern orchestration and ingestion tooling.
• Strong dimensional modeling fundamentals — you can defend a choice between Kimball, Inmon, or a hybrid based on the problem in front of you, and you've designed type-1/type-2 SCDs in production.
• Track record of setting standards on documentation, testing and alerting on a team that didn't have them.
• You've built data infrastructure under real regulatory constraints at an RIA, broker-dealer, bank or anywhere SOC 2 / Reg S-P / shaped what you built and how.
• You leverage AI as a force multiplier in your own work.
• You've developed real instincts for when to lean on it, when to verify, and where it actually accelerates pipeline development, modeling, and debugging.
• You've done a warehouse consolidation or platform migration end-to-end where you made the architectural calls and lived with the consequences and not just executed someone else’s plan

Benefits