Data Engineer (Generative AI & Healthcare Data)
- Company
- Altarum
- Location
- Remote, United States
- Salary
- 145 000–175 000 $/yr
- Posted
- 2026-10-02
Skills: Python, SQL, Databricks, PySpark, Delta Lake, dbt, Azure OpenAI, LangChain, LlamaIndex, MLflow, AWS, Azure, Spark
At Altarum, we’re driven by a simple but powerful mission: improving the health of individuals with fewer financial resources and populations underserved by the healthcare system. We partner with federal and state agencies to design and deliver solutions that make a real, measurable difference.
About The Role
Altarum is building modern data and AI infrastructure to support public health, Medicaid, analytics, evaluation, and interoperability. As a Data Engineer focused on generative AI and healthcare data, you'll independently design, build, deploy, and operate data pipelines, platform services, and production AI applications — with an emphasis on generative AI systems grounded in healthcare data.
This is a mid-level individual contributor role, typically requiring 3–5 years of relevant experience. You'll own defined projects from requirements and technical design through testing, deployment, and production support. Working with principal engineers and project partners, you'll make implementation decisions within shared architecture and security standards, guide small project teams, and help colleagues build data and AI engineering skills.
What You'll Do
Platform Development and Operations
• Design and operate cloud data platform components, including lakehouse storage, compute, SQL and ELT engines, and reusable transformation workflows using Databricks or comparable platforms • Develop production Python and SQL code, versioned reusable packages, APIs, and…
Full text and application on the employer's site.