Staff Data Engineer

The role

You will own the data platform and define its architecture, technical standards, and coding practices. You will design and maintain scalable ETL/ELT pipelines and support AI/ML initiatives using Python and AWS.

What you will do

• Define and own the architecture, technical standards, and coding practices for the data platform
• Evaluate and recommend data technologies and contribute to the platform roadmap
• Design, build, and maintain scalable ETL/ELT pipelines in Python using AWS Glue
• Drive the analytical data models and semantic layer for self-service BI and advanced analytics
• Build integrations between the data platform and internal or third-party systems
• Set the technical bar for AI-assisted development practices
• Author, optimize, and maintain complex SQL and database objects in Redshift
• Operate and optimize AWS data infrastructure
• Own data quality, governance, and reliability
• Support AI/ML initiatives by partnering with data science and ML teams

Required qualifications

• 10+ years of professional experience in data engineering or a hybrid data/software engineering role
• Strong data or software engineering background
• Expert-level Python
• Expert-level SQL
• Hands-on experience with cloud data services, ideally AWS
• Production experience with a cloud data warehouse, ideally Amazon Redshift
• Experience handling sensitive data, such as PHI
• Solid understanding of data modeling techniques
• Demonstrated experience setting technical direction and standards
• Professional use of AI-assisted development tools
• Ability to explain technical trade-offs and risks to technical and non-technical stakeholders

Nice to have

• Professional-level cloud certification (e.g., AWS Solutions Architect – Professional, Google Cloud Professional Data Engineer, or Azure Solutions Architect Expert), or equivalent hands-on experience
• Experience in health tech, digital health, or another regulated industry
• Experience with CI/CD for data assets (dbt CI, Great Expectations, or similar)
• Background building or contributing to AI/ML features: feature stores, training pipelines, model serving, or RAG architectures
• Comfort with infrastructure-as-code (Terraform, CloudFormation) and containerized deployments (Docker, ECS/EKS)
• Prior experience in a startup or high-growth environment, owning outcomes end to end
• A track record of improving developer experience and productivity through tooling, automation, or process improvements
• Experience with orchestration tools and platforms such as Apache Spark, Airflow, or equivalent
• Familiarity with BI platforms and semantic layers, such as Looker/LookML

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Flexible PTO
• Work from home options
• Professional development budget
• Support for continuing education

About the company

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 medical care for individuals living with obesity, diabetes, hypertension, and dyslipidemia.