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Job Description

Storm3 is hiring a Staff Data Engineer to help build PHI and healthcare data pipelines in a remote-first setup in San Francisco. You will work alongside a highly technical engineering team with direct partnership with the CTO and strong ownership over production systems. The role comes with a $185,000 base plus quarterly bonus and equity opportunity.

What you’ll bring

  • 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 (with Dagster strongly preferred)
  • Experience building and supporting ingestion pipelines, validation frameworks, audit processes, and failure recovery workflows
  • Experience deploying and operating workloads on Kubernetes
  • A strong observability and troubleshooting mindset with the ability to own business-critical systems
  • Comfort using AI-assisted development tools while maintaining full ownership of technical decisions and output quality

What you’ll own

  • Design, develop, and operate PHI data pipelines built in Python using Ibis, DuckDB, Pandas, Dagster, and Kubernetes
  • Lead patient identity resolution and record-linkage workflows to align healthcare data accurately
  • 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
  • Act as the escalation point for critical production issues impacting client-facing healthcare data pipelines
  • Partner closely with the CTO on key engineering decisions within the organization’s lakehouse architecture

Tools you’ll work with

Python, Ibis, DuckDB, Pandas, Dagster, Kubernetes, SQL, Airflow, Prefect

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

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