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Staff Data Engineer

Storm3 · storm3.com
San FranciscoRemoteLead / Manager
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Straight from the company’s own careers site.

The job in short

Data engineering.

PythonSQLAirflowKubernetesAuditClinical

Details

Found
6 d ago · posted 2026-10-16
Location
San Francisco, California

Full description

Storm3 is partnered with a profitable healthcare analytics company that helps health systems improve cardiovascular outcomes through advanced benchmarking, clinical analytics, and performance improvement. By combining registry data, patient-level clinical information, and health system operational data, they enable hospitals to deliver higher-quality care to more patients at a lower cost. As they continue to scale, they’re looking for a Senior Data Engineer to own and evolve the pipelines responsible for their most sensitive healthcare data, working directly alongside the CTO. What you’ll do • Own the design, development, and operation of PHI data pipelines built in Python using Ibis, DuckDB, Pandas, Dagster, and Kubernetes • Lead patient identity resolution and record-linkage workflows to ensure accurate alignment of healthcare data • Own the data-ingestion lifecycle from file intake through validation, enrichment, masking, audit, and delivery • Automate data operations and recovery processes with enterprise-grade observability, governance, and retry mechanisms • Serve as the escalation point for critical production issues impacting client-facing healthcare data pipelines • Partner closely with the CTO to make key engineering decisions within the organization’s lakehouse architecture What we’re looking for • Experience working with patient-level healthcare data under HIPAA regulations • Strong Python expertise building production-grade data systems • Advanced SQL skills, including query optimization and troubleshooting • Hands-on experience with orchestration tools such as Dagster, Airflow, or Prefect (Dagster strongly preferred) • Experience building and supporting ingestion pipelines, validation frameworks, audit processes, and failure recovery workflows • Experience deploying and operating workloads on Kubernetes • Strong observability and troubleshooting mindset with the ability to own business-critical systems • Comfortable using AI-assisted development tools while maintaining full ownership of technical decisions and output quality Benefits • 185k base + quarterly bonus + equity opportunity • Remote-first environment working alongside a highly technical engineering team • Direct partnership with the CTO and high ownership over critical systems

Data Engineer jobs in San Francisco, California · Data Engineer jobs in the United States · All Storm3 jobs · Senior Data Engineer jobs in San Francisco, California · Senior Data Engineer jobs in the United States · Senior and manager-level jobs in San Francisco, California · Remote Data Engineer jobs in the United States

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