Staff Analytics Engineer

You don't just "use" dbt; you understand

, cross-project dependencies, and how to refactor massive projects without breaking downstream BI tools like Looker.

Legacy Refactoring Experience:

8+ years of industry experience with a proven track record of migrating large-scale, "messy" data environments into clean, governed architectures.

The "Engineer" in Analytics Engineer:

Deep proficiency in Python for data operations, Airflow for orchestration, and a rigorous approach to Version Control and CI/CD.

Staff Analytics Engineer, you are the technical authority for Engine’s data ecosystem.

You will lead the transition from a monolithic legacy environment to a sophisticated, multi-project Medallion Architecture.

This role is designed for a high-level Individual Contributor (IC) who thrives on solving "unsolvable" spaghetti-code problems and establishing the engineering standards that allow our entire data org to move faster, with higher trust.

Architectural Overhaul:

Lead the design and execution of a massive migration from 1,200+ legacy dbt models into a modular, three-project Medallion structure (Bronze, Silver, Gold).

Define the "Engine Standard" for data contracts, naming conventions, and testing frameworks.