Scan your resume against ATS criteria for this Senior Data Engineer role at Outmarket AI.
Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output.
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.
A high-impact role with ownership from day.
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.
We are hiring a Senior Data Engineer to own the architecture of our data platform end to end, spanning ingestion, transformation, and the analytical serving layer that powers insights and AI across every customer. You will set the standards for how we model and operate data at scale.
Own the architecture of the data plane the whole product depends on.
Solve hard, high-value problems with messy multi-tenant insurance data.
Set data engineering standards and mentor the team.
Architect ingestion and transformation pipelines (bronze → silver → fact) across many customers.
Own multi-tenant data modeling and performance/cost across Postgres and ClickHouse.
Define the standards for dataset configuration, KPIs, and reconciliation that keep data trustworthy.
Build reliable, observable orchestration and lead data quality strategy.
Mentor data and product engineers and review high-impact data work.
5+ years in data engineering, including pipeline and analytical-data architecture.
Deep SQL and Python, strong Postgres, and hands-on columnar-store experience (ClickHouse or similar).
Experience with orchestration (Temporal, Airflow, Dagster) and large-scale data operability.
Track record of setting standards and leading data work in a fast-moving environment.
Multi-tenant SaaS data experience.
Insurance, fintech, or other regulated/document-heavy domain experience.
How to apply for Senior Data Engineer at Outmarket AI?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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