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data

Posted Jun 12

Staff Data Engineer, Data Warehouse

at Pivotal Health

United StatesHybrid

Responsibilities

  • Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization. - Design warehouse data models.
  • Create scalable schemas and data structures that support analytics, reporting, and evidence generation. - Lead data transformation strategy.
  • Establish frameworks and standards that improve consistency, maintainability, and performance. - Ensure data quality and trust.
  • Implement validation, reconciliation, monitoring, and alerting processes across critical datasets. - Support clinical data integration initiatives.
  • Improve query efficiency, storage utilization, and processing costs as data volumes grow. - Partner with stakeholders on data requirements.
  • Develop tooling and processes that increase reliability and reduce manual intervention. - Mentor data engineers and analysts.

Requirements

  • Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows.
  • experience building production data pipelines and warehouse solutions. - Deep expertise in SQL and modern data transformation frameworks and Python. -
  • Experience working with large-scale analytical databases and cloud data platforms. - Strong understanding of data modeling, ETL/ELT design, and data lifecycle management. -
  • Experience supporting business-critical reporting or analytical workloads. - Proven ability to improve data reliability and operational maturity. - Comfortable navigating ambiguity and helping define solutions where
  • Experience working with healthcare data, claims data, or clinical records. - Familiarity with healthcare interoperability standards such as FHIR or HL7. -
  • Experience supporting machine learning or LLM-enabled data workflows.

Experience

  • WHO YOU ARE - 8+ years of

Benefits

  • 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.
  • Benefits Include: - 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.
  • Equal Employment Opportunity Pivotal Health is an Equal Opportunity Employer.

Additional details

  • 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.
  • 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 building a clinical data platform to generate stronger evidence on behalf of providers.
  • As our data footprint grows, we need dedicated data engineering leadership to build reliable pipelines, trusted datasets, and scalable warehouse infrastructure.
  • This role exists to ensure that data becomes a strategic asset rather than a collection of disconnected systems.
  • As a Staff Data Engineer, you will help design and implement data pipelines, warehouse models, transformation frameworks, and operational processes that support analytics and evidence generation.
  • You will work closely with software engineers, analytics teams, and business stakeholders to ensure data is accurate, accessible, and actionable.
  • This role is well suited for someone who enjoys turning complex data ecosystems into simple, reliable platforms.

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