engineering
Posted Jun 12Staff Software Engineer, Data Warehouse
United StatesHybrid
Responsibilities
- Design and evolve the systems that support storage, transformation, governance, and access across clinical datasets. - Build scalable data infrastructure.
- Develop a secure and compliant warehouse infrastructure. - Healthcare-specific data modeling: Design and build clinical data models inside a scalable warehouse solution. - Design warehouse optimization strategies.
- Create data models and storage approaches that balance performance, scalability, and maintainability. - Establish data governance frameworks.
- Implement controls that ensure data quality, consistency, security, and auditability. - Enable downstream analytics and AI workloads.
- Build infrastructure that supports reporting, evidence generation, and machine learning applications. - Lead cross-functional technical initiatives.
- Build monitoring, alerting, and operational tooling that ensures trust in critical data systems.
Requirements
- Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows.
- You'll work on ingestion frameworks, warehouse architecture, orchestration systems, metadata management, and data access patterns that enable both analytics and AI-driven applications.
- Experience in healthcare, health tech, or regulated data environments. -
- Experience architecting modern cloud-based data warehouse solutions. - Strong proficiency in backend engineering and platform development. - Deep understanding of data modeling in a healthcare/clinical data setting, storage architecture, and data lifecycle management. - Strong proficiency in Python and SQL, or similar backend languages. - Proven track record in implementing zero trust PHI architectures. -
- Experience with Snowflake, Databricks, BigQuery, Redshift, or similar platforms. - Familiarity with AI and machine learning data platform requirements.
Experience
- WHO YOU ARE - 8+ years building distributed software systems or large-scale data platforms. -
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 investing in modern healthcare data infrastructure as a strategic capability.
- This role will lead the design and development of foundational platform capabilities that ensure data is reliable, scalable, secure, and accessible across the organization.
- This is an opportunity for an engineer who enjoys building foundational platforms that become critical company infrastructure.
- You'll have significant influence over architecture, technology choices, and long-term platform strategy while working on meaningful problems in healthcare.
- WHAT YOU’LL DO - Own warehouse platform architecture.
- Partner with engineering, analytics, and product teams to align platform capabilities with business priorities. - Improve platform observability and reliability.