Staff Software Engineer, Data Extraction
About Pivotal Health
Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey.
About The Role
Pivotal Health is expanding its investment in clinical data infrastructure as a core strategic initiative. We are building a state-of-the-art clinical data platform that collects, processes, and transforms complex healthcare information from a variety of sources and formats into structured, high-quality data assets. This platform serves as the foundation for a growing set of products, analytics capabilities, and operational workflows across the organization. As healthcare data continues to grow in volume and complexity, building systems that securely process, govern, and deliver high-quality clinical data has become a critical capability. This engineer will own key systems within that platform, helping define how clinical data is ingested, processed, normalized, and delivered at scale.
What You’ll Do
Own clinical data extraction architecture.
Design and evolve the systems that ingest, process, and normalize structured and unstructured clinical data from multiple healthcare sources.
Build document intelligence pipelines.
Develop services that extract meaningful information from PDFs, scanned records, images, and clinical documentation.
Lead healthcare data modeling efforts.
Create approaches for transforming raw clinical artifacts into structured, queryable datasets.
Develop scalable ingestion services.
Design resilient systems capable of processing large volumes of healthcare records with high reliability and accuracy.
Build scalable data extraction systems.
Leverage the best available technologies and architectural approaches to improve information extraction, classification, and normalization across diverse healthcare data sources.
Establish data quality standards.
Create validation frameworks, monitoring systems, and feedback loops that improve extraction accuracy over time.
Influence and collaborate across clinical, product, engineering, data, and operational domains: Driving alignment on business objectives and translating them into technical systems that support provider evidence generation.
Drive technical strategy for unstructured healthcare data.
Evaluate technologies, standards, and architectural approaches that accelerate clinical data adoption.
Mentor engineers across the organization.
Raise engineering standards through design reviews, technical leadership, and hands-on collaboration.
Who You Are
8+ years building backend software systems in production environments.
Experience with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations.
Familiarity with medical records, claims, or healthcare operations.
Experience designing large-scale data processing or document processing platforms, specifically working with clinical data - familiarity with medical terminology/coding practices.
Strong proficiency in Python and SQL, or similar backend languages.
Experience working with unstructured data and NLP systems.
Proven ability to design systems that operate reliably across imperfect or incomplete datasets.
Experience making architectural decisions that influence multiple teams or business functions.
Comfortable operating in ambiguous environments where requirements evolve as the business learns.
Demonstrated bias toward ownership and delivering outcomes rather than simply completing tickets.
Nice To Haves
Experience with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations.
Experience building LLM-powered extraction or document understanding systems.
Experience with machine learning workflows.
Why You’ll Love Working Here
We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description. If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you.
Benefits
Competitive compensation, including equity
Full health, dental, and vision coverage
Retirement savings plan through 401(k)
Flexible time off
Opportunities for company-wide connection and events
Ready to Make an Impact?
We’re building something meaningful; and we want you on the team. Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together.