Full Stack Engineer, Data Services

Description of the Role As a Full Stack Engineer on Data Services, you will design, build, and maintain full-stack applications and services that enable clinicians and healthcare operations teams to access, visualize, and act on clinical data. Working across the entire stack — from React user interfaces through Python/FastAPI backends to the data models and pipelines that power them — you will take features from concept through production while maintaining high standards for code quality, data reliability, and user experience. You will partner closely with data engineers, platform engineers, product, and clinical stakeholders to deliver features that matter. Your work will span frontend development (responsive, accessible UIs), API design and backend services, data modeling and transformations, comprehensive testing and QA, and end-to-end troubleshooting across the stack. You will be metrics-driven — defining success criteria, measuring impact, and iterating based on data. You will use AI-assisted development tools (Claude Code, GitHub Copilot, and similar) as a core part of your workflow to accelerate delivery while maintaining code quality and understanding. You will be part of a small, high-performing engineering team where engineers collaborate on architecture, code review, and continuous learning. Primary Responsibilities - Design and build full-stack features spanning...