ABOUT THE ROLEWe are hiring a Data Engineer to own the data plane that powers our analytics and AI products, from ingesting messy, real-world insurance data to the transformation pipelines and serving layer our customers rely on. You will turn fragmented source-system data into clean, trustworthy datasets that drive insights and automation.
WHY THIS ROLE- Own data infrastructure that is core to the product, not a side system.
- Work with genuinely hard, messy, high-value insurance data.
- Build the pipelines and models that everything analytical and AI-driven depends on.
WHAT YOU'LL DO- Build and operate ingestion pipelines from agency management systems, carriers, and documents.
- Design transformation layers (bronze silver fact) and the models that serve insights and dashboards.
- Model and tune data across Postgres and ClickHouse for correctness, performance, and cost.
- Define dataset configurations, KPIs, and reconciliation checks that keep numbers trustworthy.
- Orchestrate reliable, observable data jobs and own data quality end to end.
WHAT WE'RE LOOKING FOR- 2+ years building production data pipelines with strong SQL and Python.
- Solid relational modeling experience (Postgres) and comfort with large analytical datasets.
- A track record of turning messy, inconsistent source data into reliable product capabilities.
- Strong ownership and comfort operating in a fast-moving environment.
BONUS IF YOU HAVE- Experience with ClickHouse or another columnar/analytical store.
- Experience with workflow orchestration (e.g., Temporal, Airflow, Dagster).
- Exposure to insurance, fintech, or other document- and data-heavy domains.
