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Senior Data Engineer

Outmarket AI

LocationUnited States, India
SenioritySenior
CompanyOutmarket AI
Verified recentlyChecked today
Compensation

Salary not listed

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Requirements and working style

Decision details from the source listing

Experience

5+ years stated

Schedule

flexible

Benefits stated
Meaningful equityRemote-first flexibilityCompetitive compensation (amount not specified)

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Outmarket AI is hiring a senior data engineer to own its data platform architecture, including ingestion and transformation pipelines, multi-tenant data modeling, analytical serving, orchestration, and data quality. The role is remote in the United States or India and requires 5+ years of data engineering experience.

Role lane

Backend, Data, DevOps, Product, Security, Software

Where you can work

United States, India

Working hours

Timezone overlap is not stated.

Arrangement

Senior · full_time

Required signals
Data engineeringData pipeline and analytical-data architectureSQLPythonPostgresColumnar-store experience (ClickHouse or similar)Orchestration (Temporal, Airflow, or Dagster)Large-scale data operabilityData modelingData quality strategy
Preferred signals
Multi-tenant SaaS data experienceInsurance, fintech, or other regulated/document-heavy domain experience
Confirm before applying
  • Required timezone overlap is not stated
  • Compensation is not listed
Market context

Backend hiring on WFH.team

4,881active related roles
1,420new in the latest period
200.9jobs per 100 candidates
$180kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

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Skills and signals
Data engineeringData pipeline and analytical-data architectureSQLPythonPostgresColumnar-store experience (ClickHouse or similar)Orchestration (Temporal, Airflow, or Dagster)Large-scale data operabilityData modelingData quality strategyMulti-tenant SaaS data experienceInsurance, fintech, or other regulated/document-heavy domain experienceRemote in the United States and India
Job description

Senior Data Engineer at Outmarket AI

ABOUT OUTMARKET

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.

WHAT YOU’LL GET

  • 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.

About the role

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.

WHY THIS ROLE

  • 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.

What you’ll do

  • 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.

WHAT WE’RE LOOKING FOR

  • 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.
  • Insurance, fintech, or other regulated/document-heavy domain experience.
Company context

Working remotely at Outmarket AI

Outmarket AI is hiring for 16 active remote roles, with remote-friendly openings, application links, and job details refreshed from the public remote job inventory.

Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Research Outmarket AI
Remote Senior Data Engineer at Outmarket AI | WFH.team