Data Engineer

What You'll Do
Build the data foundation for a clinic that runs on software. You'll own how data moves from our EHR, patient portal, telehealth practice and in-person clinic into trustworthy tables that doctors, operators and engineers rely on. The better our data, the faster we find where patients drop off, where care gets stuck, and where our AI features need to improve.

You'll work closely with engineers, physicians, care coordinators and the co-founders, and own your pipelines from design through monitoring. On any given week you might be:

Building and maintaining ingestion pipelines (dlt, Prefect) from our Postgres application database, Stripe, Posthog and other sources into our warehouse (BigQuery, Motherduck/DuckDB)

Modeling clean, well-tested datasets in dbt, covering patient funnels, clinical operations, scheduling, billing and revenue

Building the datasets that feed our AI work, such as labeled data, evaluation sets and clinician-feedback pipelines

Digging into data to answer questions like where patients drop off in intake, or what slows a visit down

Adding tests, freshness checks, lineage and alerting so the team can trust what they see

Handling PHI carefully, with access controls, de-identification and audit trails suited to a regulated environment

Working with engineers on schema changes and backfills so analytics doesn't break when the product moves

We ship with discipline: small changes, clear ownership, good observability, and no data debt we can't explain.

How We Work
We ship quickly, with discipline: small PRs, clear ownership, and tight feedback loops.

Small team, broad scope. Engineers regularly work across frontend, backend, data, and infrastructure.

We ship with confidence in a regulated environment: feature flags, careful reviews, and safe migrations (including backfills). We use AI all the time but we do not vibe code our way into debt. Patients and doctors deserve better.

We invest in maintainability. Dependency upgrades, performance work, and removing dead code are part of the roadmap.

Observability is built-in. Logs, metrics, alerting, and error monitoring are part of the job.

We value builders. Curiosity, good taste, and a willingness to pick up whatever the system needs goes a long way.