Patient Identity Resolution Developer Jobs

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Today

Staff Data Engineer

Storm3 San Francisco, CA 🇺🇸 Remote

San Francisco, CA

Today

$185k+/yr Full time Senior Apache Airflow Data Architecture

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Job Description

Storm3 is hiring a Staff Data Engineer to build and run PHI-focused data pipelines for healthcare data. This remote-first role is based in San Francisco, CA and offers a $185,000 base salary plus quarterly bonus and equity opportunity. You will work alongside a highly technical engineering team with direct partnership with the CTO and meaningful ownership over critical lakehouse architecture decisions.

What you’ll do

Own end-to-end PHI data pipeline development and operations using Python and modern data tooling. You will design production systems with Ibis, DuckDB, and Pandas, orchestrate workflows with Dagster, and run workloads on Kubernetes.

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 support 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

Key requirements

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
Strong observability and troubleshooting mindset, with ability to own business-critical systems
Comfortable using AI-assisted development tools while maintaining full ownership of technical decisions and output quality

Technologies you’ll work with

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

Compensation and benefits

$185k base plus quarterly bonus and 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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