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).
Systems Governance: Define the "Engine Standard" for data contracts, naming conventions, and testing frameworks. You aren't just following a process; you are building the process others will follow.
Performance & Scalability: Partner with the Principal Engineer to optimize our Snowflake footprint. You will identify systemic inefficiencies in our DAGs and warehouse usage to drive down costs while increasing query speed.
Technical Mentorship: Act as a force multiplier for the team. You will lead high-level design reviews, provide "Staff-level" feedback on PRs, and elevate the technical bar for our Senior and Mid-level engineers.
Strategic Partnership: Bridge the gap between Engineering and Business. You’ll ensure our infrastructure supports long-term growth (3–5 years out) without compromising the day-to-day execution speed of our analysts.

Expert-Level dbt Mastery: You don't just "use" dbt; you understand dbt Mesh, 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.
Architectural Vision: Ability to look at 1,200 models and see the patterns. You prefer simple, elegant abstractions over complex, brittle "quick fixes."
Influence without Authority: You can articulate technical debt and architectural trade-offs to stakeholders, gaining buy-in for long-term infrastructure health.

Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
Benefits: Check out our full list at engine.com/culture.
Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.

Staff Analytics Engineer

Key skills