Full Stack Engineer, Data Services

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Vytalize Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

☁️ SaaS

⚕️ Healthcare Insurance

💰 $100M Series C - Vytalize Health on 2023-02

B2B • SaaS • Healthcare Insurance

Vytalize Health is a healthcare technology and services company that helps primary care practices and Accountable Care Organizations (ACOs) transition to value-based care. It combines data-driven analytics, virtual and in-home clinical support, and care management services to improve patient outcomes, enable Medicare-approved remote services for chronic conditions, and help practices earn shared savings under value-based contracts. Vytalize partners with independent PCPs, group practices, community health centers and existing ACOs to deliver clinical enablement, practice-tailored workflows, and performance insights.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Time off for illness • Access to AI-assisted development tools