Qualified Health - Sr. Data Engineer - Healthcare Data Infrastructure
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Requirements
• 4+ years as a data engineer building production ETL/ELT pipelines — you've shipped real systems, not just notebooks • Strong SQL skills (complex joins, window functions, CTEs across large healthcare datasets). Healthcare SQL is its own discipline — you either know it or you're ready to master it. • Proficiency with Python and PySpark for data transformation at scale • Experience with cloud data platforms (Databricks preferred; Snowflake, BigQuery, or Redshift accepted — you'll learn Databricks fast if you haven't already) • Familiarity with FHIR data models or willingness to learn healthcare data standards quickly — we'll invest in your ramp • Azure cloud services experience (ADLS Gen2, Key Vault, networking basics) • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field • Bachelor's degree • Epic Clarity/Caboodle experience or healthcare data background — this is a huge accelerant • Delta Lake, Delta Sharing, or lakehouse architecture experience • HL7 message processing or real-time healthcare data pipelines • Experience working in a multi-tenant SaaS environment • Technical Environment: • Our data infrastructure is built on modern cloud technologies including: • Azure Databricks + Data Factory (plus Fabric and Snowflake integrations) • Azure Databricks + Data Factory • PySpark for distributed data processing • PySpark • GitHub Actions + Terraform for CI/CD and Infrastructure as Code • GitHub Actions + Terraform • Python with type-safe patterns and modern frameworks • Python • Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas • What Success Looks Like: • High-quality data pipelines delivered on schedule with thorough testing and documentation • High-quality data pipelines • Proactive issue identification with technical problems caught and resolved before impacting partners • Proactive issue identification • Reusable components that reduce implementation time for subsequent integrations • Reusable components • Clean production deployments with minimal post-launch issues • Clean production deployments • Technical credibility with partner IT teams based on quality of work • Technical credibility • Efficient troubleshooting with quick diagnosis and resolution of data quality issues • Efficient troubleshooting • Impact & Growth Opportunity: • As a Data Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.
Responsibilities
• Build and maintain data ingestion pipelines that pull from Epic Clarity databases, FHIR APIs, and HL7 feeds into our Databricks lakehouse architecture — the technical backbone of every AI workflow we deliver • Build and maintain data ingestion pipelines • Execute data quality validation and mapping verification for each new workflow deployment — ensuring AI models receive clean, accurate, clinically relevant data. Your QC catches the problems before they reach production. • Execute data quality validation and mapping verification • Support 2-4 health system partners as part of a dedicated integration pod, working closely with your Director and directly with customer data teams • Support 2-4 health system partners • Develop and optimize SQL queries against complex healthcare data models (hundreds of tables, billions of rows) including clinical, billing, and operational data • Develop and optimize SQL queries • Contribute to defining reusable data transformation patterns that accelerate future partner onboarding — the patterns you build today are used by every pod tomorrow • Contribute to defining reusable data transformation patterns
Benefits
• Mission that matters: We partner with the country's leading health systems to safely deploy AI that improves patient care, operational efficiency, and financial performance. Your work directly impacts clinical outcomes for millions of patients. • Serious traction: 14+ health system partners including the University of Texas system, University of Rochester Medical Center and Jefferson Health — scaling to 100K+ users. • Public Benefit Corporation: We're organized to prioritize patient outcomes alongside business performance. This isn't lip service — it's in our charter. • Comp that competes: We offer market competitive base salary, meaningful equity with real upside, and comprehensive benefits. We are happy to offer flexible working hours and an inclusive environment that fosters creativity and innovation. • Our Commitment to Diversity
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