Senior Data Engineer

About this role

About Us:

Here at Ambience, we never set out to be just another scribe. We’re building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country.

Our technology helps providers focus on delivering great care by removing the administrative burden that pulls them away from patients and away from their most impactful work. Ambience delivers real-time coding-aware documentation and clinical workflow support across ambulatory, emergency and inpatient settings at the top health systems in North America.

Our teams operate relentlessly with extreme ownership to build the best solutions for our health system partners. We value candor, positivity and deep thought — and we expect a lot from each other because we know the problems we’re solving truly matter.

Ambience was ranked #1 for Improving the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025. We’re backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started.

The Role:

Ambience runs on data: which clinicians are adopting the product, how much time it saves them, whether documentation quality holds up across specialties. Getting those answers right—and getting them fast, reproducibly, and in a form a customer can verify—is a hard data engineering problem, and it's the one you'll own. As a Senior Data Engineer, you'll build and run the pipelines that ingest clinical and operational data, model it into governed metrics, and put trusted self-service analytics in front of every team at the company. You'll work cross-functionally with product managers, engineers, clinicians, and GTM to turn raw data into the numbers the whole company, and our customers, make decisions on. If a metric is wrong, stale, or can't be explained, that's yours to fix—and the credibility of our platform rides on you getting it right.

Our Engineering roles are hybrid in our SF office 3x/week.

What You’ll Do:

- Own the Trust Layer: Build and run the pipelines that ingest, validate, and transform clinical and operational data at scale—so the metrics powering our AI story are accurate, reproducible, and defensible. If the data breaks, you own the fix.

- Enable Insights Across Teams: Partner with engineering, clinical, and product teams to design clear, actionable dashboards and analytics that guide decision-making and improve healthcare outcomes.

- Support Scalable Infrastructure: Apply best practices around warehousing, orchestration (Dagster), governance, and RBAC to keep our data systems secure, performant, and ready for rapid innovation as load increases.

- Automate Data Ingestion Workflows: Build file-based ingestion pipelines enabling plug-and-play onboarding of external data sources. Develop automated validation, triggering, and error-handling mechanisms for real-time data availability.

- Establish Validation & Transformation Pipelines: Implement data validation frameworks using Python or TypeScript, and design transformation layers (SQL, dbt) that standardize and cleanse raw data for analysis and operational workflows.

- Deliver Governed, Trusted Analytics: Build and maintain governed metrics and analytical schemas in SQL that stand up to customer and third-party verification, and enable tiered self-service so every employee—technical or not—can answer their own questions without waiting on the data team.

Who You Are:

- 5+ years in a production Data Engineering role, with hands-on Snowflake experience (data modeling, performance tuning, warehouse administration).

- Strong SQL skills and proficiency in Python; experience building ETL/ELT pipelines, data lakes, or warehouses in modern cloud environments.

- Solid grasp of data validation, schema design, and scalable architecture.

- A clear communicator who can bridge technical and non-technical teams, gather requirements, and present to cross-functional stakeholders.

- Mission-driven, thrives in a fast-paced startup environment, and takes ownership of deliverables.

You'll thrive here if you've owned a production pipeline end-to-end and know why observability matters because you've been paged when data went stale; you move fast and take real ownership of data quality; and you're comfortable making calls without a fully-specified ticket. This probably isn't the role for you if you need detailed specs before writing code, or want to stay heads-down away from clinical and business stakeholders.

Nice-to-haves: early-stage startup experience, background in regulated industries (healthcare, finance), and familiarity with dbt, orchestration tools (Airflow, Dagster), or BI tools (Looker, Tableau, Mode).

Pay Transparency

The base compensation for this role is approximately $200,000–$250,000 per year, excluding equity or bonus targets. We’ve intentionally allocated a wider range so that candidates have more flexibility to choose the desired cash/equity split that works for them. Philosophically, we lean towards generous equity grants so that our team truly gets to share in the impact they create.

Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate.

Life at Ambience

Working at Ambience means opting into a high-ownership, high-trust environment built for people who want to grow fast, operate decisively and focus on work that matters. This could be the right place for you if you want to

- Work on mission-critical AI technology that directly improves clinicians’ day-to-day lives and health system financial health across some of the most complex, high-stakes workflows in the world.

- Join a “dream team” culture wher

Similar jobs

• Senior Data Engineer — Codat · Remote
• Senior Data Engineer — Aircapture · Berkeley, CA
• Senior Data Engineer — Accenturefederalservices · Arlington, VA
• Senior Data Engineer — Goatgroup · Remote
• Senior Data Engineer — Fanduel · Atlanta, Georgia, United States
• Senior Data Engineer — Triumph-arcade · San Francisco HQ
• Senior Data Engineer — Firststreet · New York City
• Senior Data Engineer — Eliseai · New York City