Note: The job is a remote job and is open to candidates in USA. Pivotal Health is hiring a Senior Full-Stack Engineer for its Case Execution team. The role focuses on building reliable backend systems for healthcare reimbursement workflows, including eligibility, batching, submissions, and claim orchestration, with contributions to internal-facing UI and operations tools.
Responsibilities
- Build and improve core case execution systems: Own backend development across eligibility, batching, submissions, ops workflows, and claim orchestration. These are the systems that determine how cases move through Pivotal's platform and reach resolution
- Tackle complex, data-driven backend problems: Work through the decision logic and data-heavy workflows that make eligibility and batching hard, understanding not just how individual systems work, but how they interact across the broader platform
- Contribute to workflow orchestration: Build and improve the systems that coordinate how cases are staged, routed, and executed end to end, with a clear eye toward correctness and reliability
- Collaborate cross-functionally: Work closely with the Integrations team, Case Strategy team, and other engineering and product partners to ensure systems are well-connected and aligned with how the broader platform operates
- Contribute to front-end and admin workflows: The role is primarily backend-focused, but you'll contribute to internal-facing UI and ops tooling where the product requires it
Skills
- 5+ years of fullstack software engineering experience with a backend focus
- Strong engineering fundamentals with hands-on experience building data-heavy, workflow-oriented systems
- Experience working on complex, data-driven decision logic or orchestration problems: you're comfortable with systems where correctness and sequencing both matter
- Experience contributing to modern React-based applications
- Comfortable operating in a collaborative, fast-moving startup environment where ownership and requirements evolve
- Python experience; able to work effectively in a Python-based backend environment
- Self-directed and proactive: you identify problems and drive them to resolution without heavy oversight
- Strong communicator who collaborates well across engineering, product, and adjacent teams
- Candidates must be authorized to work in the United States without current or future employer sponsorship
- Experience with healthcare-specific data or HealthTech systems
- Exposure to data-heavy architectures or problems adjacent to data engineering without being a pure data engineer
- Familiarity with tools like Snowflake, dbt, or Databricks
Benefits
- Equity
- Full health, dental, and vision coverage
- Retirement savings plan through 401(k)
- Flexible time off
- Opportunities for company-wide connection and events
Company Overview