Data Engineer

Outmarket AI

4d•Remote

About The Position

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. 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.

Requirements

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 Haves

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.

Responsibilities

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.