Full Stack Engineer, Data Services

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.

• Design and build full‑stack features spanning React frontends, Python/FastAPI backends, and supporting data models and transformations
• Develop and maintain data models and transformation pipelines (dbt preferred) that feed application and analytics layers; ensure data flowing into applications is well‑modeled, tested, and reliable
• Design and implement REST APIs serving clinical data, quality metrics, care gaps, and decision support content to internal applications and external partners
• Implement API contracts, versioning strategies, authentication/authorization patterns (OAuth/OIDC), and rate limiting for compliant clinical data access
• Build responsive, accessible React user interfaces with modern component patterns; collaborate with product and clinical teams to translate requirements into intuitive UIs
• Design and implement comprehensive testing strategies—unit tests, integration tests, end‑to‑end tests, and data validation tests—to ensure reliability across the stack
• Conduct and support QA activities including test planning, test case design, manual testing, and establishing testing standards; work closely with QA engineers and clinical testers to validate functionality and user experience
• Write clean, tested, maintainable code across the stack; participate actively in code review and help raise code quality standards
• Use AI‑assisted development tools (Claude Code, Git Hub Copilot, Cursor, or similar) deliberately and effectively—to scaffold, refactor, generate tests, and document while maintaining code quality and understanding
• Define and measure success metrics for features—including usage, adoption, clinical workflow impact, and data quality—to drive iterative improvements and prioritization
• Partner with product and data teams to establish KPIs and dashboards that measure feature impact on clinician workflows, care coordination, and operational efficiency
• Troubleshoot and resolve issues across the full stack—from UI bugs to API failures to data pipeline problems; trace issues end‑to‑end and implement durable fixes
• Collaborate with data engineering to ensure API data contracts are well‑defined and upstream data models support application needs
• Participate in architecture and design discussions including API design, authentication patterns, data contract definition, and system reliability
• Raise data quality or data modeling concerns early in development rather than letting them surface downstream
• Contribute to technical documentation—including API specifications, data dictionaries, runbooks, and architectural decisions
• Support production systems through on‑call rotations, incident response, and post‑incident improvements
• Mentor junior engineers and contribute to team process improvement and knowledge sharing

• 3–5 years of professional software engineering experience, with demonstrated full‑stack development capability
• Strong React proficiency with modern JavaScript (ES6+); comfortable building responsive, component‑based, accessible user interfaces
• Strong Python skills with hands‑on experience building REST APIs using FastAPI, Flask, Django, or comparable frameworks
• Experience implementing authentication and authorization patterns such as OAuth 2.0 / OIDC or similar
• Demonstrated experience designing data models, writing SQL, and building data transformation logic; understanding of normalization, dimensional modeling, or similar concepts
• Proven experience with testing frameworks and writing comprehensive tests (unit, integration, end‑to‑end); understanding of test coverage and QA best practices
• Experience defining, measuring, and acting on metrics and KPIs—understanding…