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Full Stack Engineer, Data Services

Vytalize Health
Location
US
Workplace
Remote
Employment
Full Time
Salary
—
Apply on the employer’s site

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

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
  • Design and implement REST APIs serving clinical data, quality metrics, care gaps, and decision support content
  • Implement API contracts, versioning strategies, authentication/authorization patterns (OAuth/OIDC), and rate limiting
  • Build responsive, accessible React user interfaces with modern component patterns
  • Design and implement comprehensive testing strategies — unit tests, integration tests, end-to-end tests, and data validation tests
  • Conduct and support QA activities including test planning, test case design, manual testing, and establishing testing standards
  • Write clean, tested, maintainable code across the stack
  • Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or similar) deliberately and effectively
  • Define and measure success metrics for features — including usage, adoption, clinical workflow impact, and data quality
  • Partner with product and data teams to establish KPIs and dashboards that measure feature impact
  • Troubleshoot and resolve issues across the full stack — from UI bugs to API failures to data pipeline problems
  • Collaborate with data engineering to ensure API data contracts are well-defined
  • 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
  • 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
  • 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

Preferred

  • 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

Skills

  • React
  • JavaScript
  • Python
  • FastAPI
  • Flask
  • Django
  • OAuth
  • OIDC
  • SQL
  • Git
  • CI/CD
  • dbt
  • Databricks
  • AWS
  • Snowflake
  • Docker
  • OpenAPI
  • Swagger
  • FHIR
  • HL7
  • HIPAA
  • Claude Code
  • GitHub Copilot
  • Cursor
  • ChatGPT
  • DataDog
  • CloudWatch

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