Note: The job is a remote job and is open to candidates in USA. Vytalize Health is focused on enhancing healthcare operations through technology, and they are seeking a Full Stack Engineer for their Data Services team. The role involves designing and maintaining full-stack applications that help clinicians access and visualize clinical data, collaborating closely with various stakeholders to deliver impactful features.
Responsibilities
- 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, GitHub Copilot, Cursor, or similar) deliberately and effectively — leveraging them for scaffolding, refactoring, test generation, and documentation 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 the development process 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
Skills
- 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 how to translate business requirements into measurable success criteria and iterate based on data
- Proven experience using AI coding assistants (Claude Code, GitHub Copilot, Cursor, ChatGPT) to improve development speed and quality — able to speak to how you use these tools effectively, not just that you have access
- Experience with version control (Git) and collaborative development workflows (pull requests, code review, CI/CD)
- Strong communication skills and ability to work cross-functionally with data, product, clinical, and engineering teams
- Comfortable working in ambiguous environments with evolving healthcare requirements; strong problem-solving and debugging skills
- Experience working with dedicated QA engineers or as a QA engineer; familiarity with QA methodologies, test case design, and testing in regulated environments
- Background in data-driven product development with experience defining and tracking OKRs, KPIs, or similar outcome metrics
- Experience with observability and monitoring tools (DataDog, CloudWatch, or similar); ability to define and track application health and performance metrics
- Experience with A/B testing, feature flags, or experimentation frameworks
- Experience with dbt for data transformation and testing; familiarity with medallion architecture (Bronze/Silver/Gold)
- Experience working with healthcare data and interoperability standards — familiarity with FHIR, HL7, claims data, EHR integrations, value-based care metrics, or care gap/attribution concepts
- Experience with cloud data platforms (Databricks, AWS, Snowflake)
- Familiarity with CI/CD pipelines, infrastructure-as-code, and containerization (Docker)
- Experience designing and consuming APIs; familiarity with API documentation standards (OpenAPI/Swagger)
- Background in healthcare, pharmaceutical, or other regulated industry with experience handling sensitive data
- Experience building and operating data quality validation and monitoring
- Exposure to healthcare compliance requirements (HIPAA, PHI/PII handling, audit logging)
- Familiarity with React testing libraries and frontend testing practices
- Previous experience on small, high-performing engineering teams in startup or high-growth environments
Company Overview
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