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# Data Engineer

- **Company:** Outmarket AI
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Infrastructure, Python (Programming Language), PostgreSQL, Operational Databases, Standard Sql, SQL Databases, Data Ingestion, Vertica
- **Published:** June 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=420e52fe01290674

## About the Role

Do you have experience in SQL?, * 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.

## Description

The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us., 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.


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