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outmarket - Data Engineer

Remote - US+ Equity2d ago

Remote Mid NA Insurance Fintech Data Engineer Documentation SQL Python Airflow Temporal Dagster Observable Data Quality

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. • 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.

Benefits

• 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.