# Data Engineer at Function Health

- Company: Function Health
- What the company does: It’s time you own your health. Function includes 160+ lab tests and personalized protocols for instant action. Tracked over time in one secure place. Backed by Battery, General Catalyst and a16z.
- Company website: https://www.functionhealth.com/?utm_source=google&utm_medium=Google&utm_campaign=20800990020&utm_content={adid}&utm_term=function%20health&gad_source=1&gad_campaignid=20800990020&gbraid=0AAAAAqiw_KFExiKCoQ9G5NEKwcrrjePXb&gclid=Cj0KCQiAi9rJBhCYARIsALyPDttmpuDOephC5Um1LdEhfu26AqPmxZ67mRocG5lC6iFX7x2YcWSfeKMaArUgEALw_wcB
- Type: Startups
- Level: Mid level
- Location: United States - Remote
- Work setup: Remote
- Posted: 2026-08-26
- Apply by: 2026-10-10
- Apply: https://jobs.gem.com/function-health/am9icG9zdDpzEU9x2vJpUCvFWm9GCCjJ
- Page: https://www.1752.vc/careers/jobs/function-health-data-engineer-2/

## About the role

You are an experienced data engineer who enjoys building systems that scale and last. You’re comfortable working across a wide range of data types and tools, and you approach complex problems with curiosity and pragmatism. You’re collaborative, thoughtful, and proactive, with a strong sense of ownership and care for the people who depend on the data you build. Ideally, you come from data engineering or software background in healthcare, biotech, or other high-trust data environments.

## What they're looking for

- 1-2+ years of experience in data engineering, ETL development, or cloud-based data orchestration. 1-2+ years of experience in data science, analytics, or applied research, IF hold a PHD/published research
- Strong proficiency in Python and SQL
- Hands-on experience with workflow orchestration tools (Airflow, Prefect, or similar)
- Experience with cloud platforms and services (AWS, Azure, GCP familiarity is a plus)
- Experience building on Databricks and working with distributed processing frameworks (Apache Spark, Dask, or similar)
- Solid understanding of data validation, observability, testing, and production best practices