Senior Data Engineer

ABOUT 9AMHEALTH

9amHealth is an AI-enabled virtual specialty care platform focused on managing high-cost chronic conditions at scale. The company partners with employers, health plans, and pharmacy benefit managers to deliver comprehensive, cost-effective medical care for individuals living with obesity, diabetes, hypertension, and dyslipidemia. Members receive access to specialized clinicians, including endocrinologists, obesity medicine specialists, and clinical pharmacists, at-home lab testing, prescription medications, and lifestyle support.

9amHealth was founded in 2021 and is backed by leading healthcare investors like Define Ventures, SemperVirens, 7Wire Ventures, and The Cigna Group Ventures.

About the Role

We are looking for a Senior Data Engineer to join our lean, high-impact Data & Analytics team (currently a data analyst and a data engineer). You will own and evolve the data platform that powers clinical operations, business intelligence, and AI initiatives. This is a hands-on, full-stack data role: you will build and maintain pipelines, design analytical data models, contribute backend application code, and help the team adopt modern AI-assisted development practices.

This is not a traditional analytics or BI role. We need a strong software engineer who happens to specialize in data. Our entire DWH, ETL, and reporting stack is built in Python on AWS, so deep Python development experience is essential. The ideal candidate can write production-quality Python and SQL with the same rigor as any backend engineer, while also being comfortable configuring a Looker explore, building an AWS Glue job, or contributing Java code where needed. You thrive in a startup environment where ownership is broad and velocity matters.

What it is:

- Design, build, and maintain scalable data pipelines and ETL/ELT workflows in Python using AWS Glue, Apache Spark, Airflow, or equivalent orchestration tools.

- Write production-grade Python code for DWH logic, reportin...