Data Engineer — AI Analytics for Insurance (Remote)

Outmarket.AI

United States

On-site

USD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation and meaningful equity
Direct collaboration with founders
Remote-first flexibility

Job summary

Outmarket.AI is seeking a Data Engineer to take ownership of their data infrastructure, which powers analytics and AI products. The role involves building ingestion pipelines, designing data transformations, and ensuring data quality. Candidates should have at least 2 years of experience in production data pipelines, strong SQL and Python skills, and a knack for transforming messy data into reliable insights.

Join a remote-first team and contribute to developing an AI-native product that delivers real impact in the insurance industry.

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.

Responsibilities

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

Skills

Strong SQL
Python
Relational modeling (Postgres)
Data pipeline building

Tools

ClickHouse
Temporal
Airflow
Dagster

Job description

Outmarket.AI is seeking a Data Engineer to take ownership of their data infrastructure, which powers analytics and AI products. The role involves building ingestion pipelines, designing data transformations, and ensuring data quality. Candidates should have at least 2 years of experience in production data pipelines, strong SQL and Python skills, and a knack for transforming messy data into reliable insights.

Join a remote-first team and contribute to developing an AI-native product that delivers real impact in the insurance industry.

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