Staff Software Engineer, Data Warehouse

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🕒 June 12

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Pivotal Health

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 Pre seed on 2024-01

Healthcare Insurance • SaaS • B2B

Pivotal Health is a healthcare technology company that provides the industry’s only full-service Independent Dispute Resolution (IDR) platform, combining software, data, and white-glove services to help providers secure fair reimbursement from payers. Their scalable, integrated SaaS platform automates IDR workflows, connects with major revenue cycle management systems, and manages eligibility, submissions, and appeals on behalf of provider organizations. Pivotal Health serves hospitals and specialty practices with a results-driven, outcome-aligned business model (paid after client success) and emphasizes transparency, high client retention, and measurable revenue recovery.

📋 Description

• Own warehouse platform architecture. 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. Partner with engineering, analytics, and product teams to align platform capabilities with business priorities. • Improve platform observability and reliability. Build monitoring, alerting, and operational tooling that ensures trust in critical data systems.

🎯 Requirements

• 8+ years building distributed software systems or large-scale data platforms. • 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 designing systems that support both operational and analytical workloads. • Track record of leading technical initiatives spanning multiple teams. • Strong systems-thinking mindset with an ability to balance short-term execution and long-term scalability. • Demonstrated ownership of critical infrastructure in high-growth environments.

🏖️ 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

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