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. The Senior Data Engineer will own and evolve the data platform that powers clinical operations, business intelligence, and AI initiatives.
Requirements
- 10+ years of professional experience in data engineering, analytics engineering, or a hybrid data/backend software engineering role.
- Strong software engineering background: this role requires someone who can write, test, debug, and ship production code, not just query data.
- Expert-level Python: deep experience building production data pipelines, ETL logic, and reporting systems in Python.
- Expert-level SQL: window functions, CTEs, recursive queries, query optimization, and performance tuning at scale.
- Hands-on experience with AWS data services, specifically Glue, S3, Redshift, Athena, CloudFormation, CloudWatch, and IAM.
- Experience with MySQL/Aurora in a production environment.
- Hands-on experience building and operating data pipelines with AWS Glue, Spark, dbt, Airflow, or comparable frameworks.
- Deep experience with at least one modern BI platform. Looker (LookML) strongly preferred; Tableau also valued.
Benefits
- Comprehensive benefits package, including health, dental, and vision insurance
- Flexible PTO and work from home options
- Professional development budget and support continuing education
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