Data engineering positions – Our infrastructure handles data at massive speed & scale to test theories in real time. Develop infrastructure for pattern discovery by researchers with high computing capacity.
Key Responsibilities
Design and develop code‑driven interfaces between our data platform and a variety of internal and external services.
Take projects from initial requirements gathering through to production deployment and proactive monitoring.
Build scalable transformations in dbt and other ETL tools, including incremental models and unit tests.
Design systems that balance technical excellence with business needs, focusing on reliability and long‑term maintainability.
Leverage AI‑assisted coding tools (e.g., Cursor, Claude) to increase development velocity and deliver high‑quality solutions faster.
Partner with Engineering, Product and Analytics teams to solve complex data challenges.