Data Engineer

What You’ll Get

• A high-impact role with ownership from day one.
• Competitive compensation and meaningful equity.
• Direct collaboration with founders and real users.
• Remote-first flexibility.
• The opportunity to help build an AI-native product from the ground up.

About the Role

We 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.