Senior Data Engineer
9amHealth · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior Data Engineer
- Fully remote options
- Python + AWS stack
- Healthcare industry
- Up to $195k salary
Join the Data & Analytics team at 9amHealth, an AI-enabled virtual care platform for chronic conditions. You will own the data infrastructure that powers clinical operations and business intelligence, working with a small, high-impact team.
This is a full-stack data role requiring strong software engineering rigor. You will write production-quality Python and SQL, manage AWS services, and help integrate modern AI-assisted development practices into the workflow.
What you'll do
- Design and maintain scalable ETL/ELT pipelines using Python and AWS tools
- Write production-grade Python code for data transformations and internal tooling
- Develop analytical data models to support self-service BI and advanced analytics
- Build dashboards and semantic layers in Looker or Tableau
- Contribute backend application code in Java or Python for data-intensive features
- Operate and optimize AWS infrastructure including Glue, Redshift, and S3
- Implement data quality frameworks, monitoring, and incident response processes
- Mentor team members and establish code review and documentation standards
What you'll need
- 10+ years of experience in data engineering or hybrid data/backend roles
- Expert-level Python skills for building production data pipelines
- Expert-level SQL proficiency including optimization and complex queries
- Hands-on experience with AWS data services like Glue, Redshift, and Athena
- Experience with MySQL or Aurora in a production environment
- Deep experience with modern BI platforms, preferably Looker or Tableau
- Strong understanding of data modeling techniques like star schemas
- Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor
Nice to have
- Proficiency in Java with Spring Boot for backend services
- AWS certifications in Solutions Architect or Data Analytics
- Experience in health tech or regulated industries with HIPAA knowledge
- Background in CI/CD for data assets using tools like dbt
- Experience with infrastructure-as-code like Terraform or CloudFormation
- Prior work in startup environments with end-to-end ownership
Stack
- Python
- SQL
- AWS Glue
- Apache Spark
- Airflow
- Looker
- Tableau
- Redshift
- Athena
- Java
- Spring Boot
How you'll work
- Full-time W2 position
- Remote work options available
- Team spread globally with sites in San Diego and Vienna
What you get
- Base salary up to $195,000 depending on experience
- Comprehensive health, dental, and vision insurance
- Flexible paid time off
- Professional development budget and continuing education support