Full Stack Engineer, Data Services

Vytalize Health

Full Stack Engineer specializing in developing full-stack applications and services in the healthcare sector. Collaborating across teams to ensure quality and performance of clinical data access and visualization solutions.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Full-Stack Development with a focus on React and Python/FastAPI, ensuring high-quality, reliable applications through comprehensive testing and data modeling. Proficient in API design, authentication patterns, and leveraging AI-assisted development tools to enhance coding efficiency and quality.

Highest-signal resume keywords

Full-Stack DevelopmentReact ProficiencyPython/FastAPI ExperienceAPI Design and ImplementationData Modeling and Transformation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentReactPythonFastAPIREST API DevelopmentSQLData TransformationTesting FrameworksVersion Control (Git)AI Coding Assistants

Soft Skills

Strong Communication SkillsProblem-SolvingCollaborationMentoring

Tools & Technologies

GitHub CopilotClaude CodeCursorCI/CD

Industry Keywords

HealthcareData QualityKPI MeasurementQuality MetricsClinical Data

Tech Stack

Tools & technologies

DjangoFlaskJavaScriptPythonReactSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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