Maintain scalable, well-documented dbt models for regulatory reporting and safety.
Build and optimize data pipelines in dbt for auditable compliance.
Collaborate with legal, policy, and engineering to translate requirements.
Implement data definitions and docs to improve safety metrics quality.
Participate in reviews of analytics infrastructure to improve reporting.
Help implement validation frameworks for data quality monitoring.

🎯 Requirements

0–2 years in analytics engineering or data engineering in regulated environments.
Proficiency in SQL and Python; familiarity with dbt and version control.
Passion for clean, testable data models for complex reporting.
Excellent communication to translate technical details for legal/policy teams.
Detail-oriented; prioritize accuracy in high-stakes environments.
Mission-driven with a commitment to transparency and safety.

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