Data Engineer

The role

You will own the data plane that powers analytics and AI products. You will build ingestion pipelines, design transformation layers, and model data across Postgres and ClickHouse.

What you will do

• Build and operate ingestion pipelines from agency management systems, carriers, and documents.
• Design transformation layers 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.
• Orchestrate reliable, observable data jobs and own data quality end to end.

Required qualifications

• 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.

Nice to 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.

Benefits

• 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 company

Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. It is an AI-first company that automates quote comparisons, coverage gap and tower analysis, policy review, and proposal generation.