Pivotal Health
Healthcare
StaffDataEngineer,DataWarehouse
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Engineer, Data Warehouse at Pivotal Health. Skills: Data warehousing, Data pipelines, Data modeling. Own data pipeline development. Build reliable pipelines”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
8+ years experience, Deep expertise SQL, Modern data transformation frameworks, Python expertise, Large-scale analytical databases, Cloud data platforms experience, Data modeling understanding, ETL/ELT design understanding, Data lifecycle management understanding, Support business-critical reporting, Support analytical workloads, Improve data reliability, Improve operational maturity
Nice to Have
Experience with healthcare data, Experience with claims data, Experience with clinical records, Familiarity with FHIR, Familiarity with HL7, Experience supporting ML workflows, Experience supporting LLM workflows
What You'll Do.
Own data pipeline development
Build reliable pipelines
Maintain reliable pipelines
Ingest healthcare data
Transform healthcare data
Deliver healthcare data
Design warehouse data models
Create scalable schemas
Create data structures
Support evidence generation
Lead data transformation strategy
Improve maintainability
Implement reconciliation
Support clinical data integration
Incorporate new data sources
Optimize warehouse performance
Improve query efficiency
Improve storage utilization
Improve processing costs
Partner with stakeholders
Translate business questions
Create durable data solutions
Create trusted datasets
Improve operational excellence
Reduce manual intervention
Mentor data engineers
Elevate technical standards
How You'll Work.
Team & Collaboration
Work with software engineers; Work with analytics teams; Work with business stakeholders; Cross-functional teams
Process & Methodology
Roadmap planning
Full Job Description
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 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. You'll have the opportunity to influence both architecture and execution while helping shape how Pivotal leverages healthcare d
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