Staff Data Engineer, 9amHealth
Provider of cardiometabolic healthcare
Open for applications
Provider of cardiometabolic healthcare
101-200 employees
Open for applications
101-200 employees
Company mission
To deliver unlimited care from specialists across diabetes, obesity, and heart health to help our members live healthier every day.
Role
Who you are
- 10+ years of professional experience in data engineering or a hybrid data/software engineering role
- A strong data or software engineering background, with the ability to write, test, debug, and ship production code independently using practices such as code review and CI/CD
- Expert-level Python experience architecting production data pipelines, ETL logic, and reporting systems. Python is the primary language, and depth in other languages relevant to modern data engineering (such as Java, Scala, or Go) and sound tooling decisions are valued
- Expert-level SQL, including window functions, CTEs, recursive queries, and query optimization at scale
- Hands-on experience with cloud data services, ideally AWS (such as Glue, S3, Redshift, or Athena), including building and operating production data pipelines on them
- Production experience with a cloud data warehouse, ideally Amazon Redshift, including schema design and performance tuning
- Experience handling sensitive data, such as PHI, with appropriate access controls and compliance practices
- A solid understanding of data modeling techniques, including star and snowflake schemas, slowly changing dimensions, and event-based models
- Demonstrated experience setting technical direction and standards that other engineers and teams build on
- Professional use of AI-assisted development tools, with sound judgment on correctness, security, and review
- Ability to explain technical trade-offs and risks clearly to technical and non-technical stakeholders, including executives
Desirable
- Professional-level cloud certification (such as 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 (such as dbt CI, Great Expectations, or similar)
- A background building or contributing to AI/ML features, such as feature stores, training pipelines, model serving, or RAG architectures
- Comfort with infrastructure-as-code (such as Terraform or CloudFormation) and containerized deployments (such as Docker, ECS, or 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, and of influencing engineering practice beyond your immediate team
- Experience with orchestration tools and platforms such as Apache Spark, Airflow, or equivalent
- Familiarity with BI platforms and semantic layers, such as Looker/LookML, in support of self-service analytics
What the job involves
- As a Staff Data Engineer, you'll sit within the data team and report to the VP of Data. You'll own the data platform that powers the business's current data needs and help shape where it goes next
- The data warehouse, ETL, and reporting stack is built in Python on AWS. You'll write production-quality Python and SQL, set the architecture and technical standards the team builds on, and work hands-on with AWS services such as Lambda and Glue and BI tools when needed
- 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, including performance and cost optimization
- Design, build, and maintain scalable ETL/ELT pipelines in Python using AWS Glue
- Drive the analytical data models and semantic layer that power self-service BI and advanced analytics
- Build integrations between the data platform and internal or third-party systems, contributing backend code where needed
- Set the technical bar for AI-assisted development practices across the data team (GitHub Copilot, Claude, Cursor, or similar)
- Author, optimize, and maintain complex SQL and database objects, such as views and stored procedures, in Redshift
- Operate and optimize AWS data infrastructure, such as Glue, S3, Redshift, and Athena
- Own data quality, governance, and reliability for the platform, including monitoring, alerting, and incident response
- Support AI/ML initiatives by partnering with data science and ML teams on data prep, feature engineering, and model monitoring
- Raise the team's technical standards through code review, architecture decisions, and hands-on mentorship of the data analyst and data engineer
- Partner with clinical operations, product, finance, and engineering to translate ambiguous business questions into reliable, well-documented data products
Our take
The high cost of GLP-1 medications, used to treat diabetes and weight management, poses a challenge for both patients and employers. This expensive medication, while highly effective, creates a burden on healthcare systems and limits access for many who could benefit.
9amHealth steps in to address this issue by offering an affordable solution for cardiometabolic care. It provides patients with personalized care plans, medication delivery, at-home lab tests, and unlimited access to specialists. This not only simplifies the healthcare experience for patients but also boasts impressive clinical outcomes.
Additionally, 9am partners with businesses to offer these benefits to their employees, helping manage healthcare costs and improve employee health. The company is well-funded with a strong foundation and promising future, as the popularity of GLP-1s continues to soar.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Health, vision, and dental plans
- 20 vacation days (for full-time employees)
- Flexible, hybrid working model
Company HQ
Encinitas, CA
Leadership
Frank Westermann
(Co-CEO & Co-founder)Alongside 9amHealth, they are the founder and CEO of Whitewater Ventures. Previously co-founded mySugr (acquired by Roche) and Zense-Life.
Anton Kittelberger
(Co-CEO & Co-founder)Currently an Investor and Non-Executive Chairman at BOYDSense. Previously worked at mySugr for over 7 years in a number of roles, including CEO. They also worked at Roche and Detecon International.
Paul Geevarghese
(COO & Co-founder)Previously held Vice President roles at Roche and mySugr. They were also a Senior Manager of Medical Affairs at Novo Nordisk.
Bernhard Schandl
(CTO & Co-founder)Co-founder and Tech Advisor at inoqo. Previously the Head of Technology, CTO, and VP of Engineering at mySugr. They were also a Lecturer at Fachhochschule Technikum Wien for over 6 years.
Share this job
View 6 more jobs at 9amHealth