Senior Data Engineer

🕒 July 28

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Outmarket AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

Artificial Intelligence • Insurance • SaaS

Outmarket AI is an AI-driven SaaS platform purpose-built for insurance agencies and brokerages. It automates and accelerates insurance workflows—quote comparison, coverage gap analysis, contract/lease requirement checks, tower analysis, proposal generation, loss-run insights, ACORD form filling, and policy verification—by integrating with major agency management systems (e. g. , AMS360, Applied Epic, HawkSoft) and common document stores and email systems. The company emphasizes enterprise security (single-tenant architecture, zero data retention, SOC 2 Type II, HIPAA-ready), serves 250+ agencies, and positions itself to save underwriting/producer teams many hours per week while reducing errors and increasing revenue.

📋 Description

• 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.

🎯 Requirements

• 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. • Bonus if you have multi-tenant SaaS data experience and insurance, fintech, or other regulated/document-heavy domain experience.

🏖️ Benefits

• A high-impact role with ownership from day one. • 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.