Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 135d ago
The date the source published, not the day we noticed it (2026-06-20). Last seen at its source 3h ago.
We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote US, Remote India
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States, India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- North America $168.5k–230.2k/yr (2,855 listings, Senior)
- Asia $5,375–7,250/mo (10 listings, Senior)
Middle 50% of Engineering listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 59d ago · last seen 3h ago
The listing
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.