Staff Software Engineer, Data Warehouse
About The Position
Pivotal Health is investing in modern healthcare data infrastructure as a strategic capability. We are building a state-of-the-art healthcare data platform that ingests, processes, and organizes complex healthcare information into trusted data assets. This role will lead the design and development of foundational platform capabilities that ensure data is reliable, scalable, secure, and accessible across the organization. As a Staff Software Engineer focused on Data Warehouse infrastructure, you will architect the services, pipelines, and platform capabilities that power our healthcare data ecosystem. You'll work on ingestion frameworks, warehouse architecture, orchestration systems, metadata management, and data access patterns that enable both analytics and AI-driven applications. 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.
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.
Nice To Haves
- Experience with Snowflake, Databricks, BigQuery, Redshift, or similar platforms.
- Familiarity with AI and machine learning data platform requirements.
Responsibilities
- 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.
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
