Member of the Technical Staff - Data Engineer

The posting, as Stand Insurance wrote it

Why Join Stand https://www.standinsurance.com/careers/why-stand/: At Stand, you’ll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine, our Stand World Model https://frontier.standinsurance.com.

We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.

Our leadership team https://www.standinsurance.com/vision has built category-defining companies (Metromile, Policygenius, WePay, HotelTonight) and brings decades of expertise in underwriting, capital management, and reinsurance.

Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.

Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can’t and operate with far less friction.

Role Summary

We are building the self-driving insurer: a national carrier whose standard operating procedure is explicit, instrumented, and handed to agents one proven step at a time — so the book grows without the org.

Every one of those decisions runs on data, and every one of them is only as good as the number underneath it. That's the precondition this role owns. Not a dashboard. The warehouse, the definitions, and the query surfaces that underwriting, pricing, and leadership all resolve to — and that our agents will read from long before they're trusted to write.

Concretely, the platform is four things

A warehouse where every dataset moves at its own speed. Today we have a centralized analytics database in Postgres, rebuilt hourly in full. It works, and it's why you start on the second problem instead of the first. You migrate it: dbt for models, a real orchestrator for scheduling, per-dataset cadence and freshness SLAs, snapshots on the entities whose history matters. Bind state on minutes, vendor pulls and reference data daily.

A trust framework and diagnostics console. Reconciliation between each system of record and the warehouse — row counts, premium totals, status parity — running as tests on every load and failing the run, not as a monthly spot check. A console where anyone, not just you, can see whether a dataset is fresh, whether it reconciled, and which dashboards are affected when it didn't. Turning a discrepancy someone noticed into a permanent test should take an afternoon.

A shared semantic layer. One registry of typed, versioned, permission-aware entities and metrics. A metric means one thing, defined once, in version control. Deciding what a metric should mean i
[…]
se of AI tools is expected and valued at Stand. Candidates should be prepared to discuss how they use AI, how they evaluate its output, and how it informs their work. Strong communication, sound judgment, and the ability to clearly articulate experience and decision-making remain core requirements.

Some parts of the interview process are designed to assess independent thinking, communication, and problem-solving. If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance.

Work Authorization

Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.

Equal Opportunity Employment

Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.

We are committed to providing reasonable accommodations for qualified individuals. If you require assistance, please contact us at hr@standinsurance.com http://standinsurance.com.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

AI Use in Hiring

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us at hr@standinsurance.com http://standinsurance.com.