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Staff Data Engineer - Healthcare Data Infrastructure

Staff Data Engineer - Healthcare Data Infrastructure

Qualified HealthPalo Alto, CA, US
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Job Description

Job Description

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary :

Qualified Health is seeking a Staff Data Engineer to serve as both a hands-on technical leader and architectural authority for our data integration and transformation infrastructure. In this role, you'll combine deep healthcare data expertise with sophisticated engineering practices to design, implement, and maintain robust, scalable ETL pipelines that power our AI platform. You'll directly build and deploy critical data infrastructure while also driving its strategic evolution, working independently and collaborating with cross-functional teams to enhance our platform's data processing capabilities.

Key Responsibilities :

  • Lead by doing : directly architect, implement, configure, and deploy enterprise-grade data pipelines that handle complex healthcare data at scale
  • Own the end-to-end technical implementation of critical data infrastructure, from initial setup through production deployment and ongoing maintenance
  • Drive technical planning and architecture discussions with health system partners and platform teams, defining and implementing data transformation patterns that balance scalability, reliability, and maintenance considerations
  • Provide hands-on technical oversight of ETL implementations, ensuring robust error handling, monitoring, and operational excellence
  • Develop, test, and deploy reusable ETL components and frameworks to accelerate development and ensure consistency across pipelines
  • Implement sophisticated data quality checks and monitoring solutions to ensure reliable data processing
  • Actively debug and optimize pipeline performance, solving complex data processing challenges in production environments
  • Provide authoritative guidance on healthcare data formats, ETL patterns, and data quality best practices to both internal teams and implementation partners
  • Mentor data engineers through direct collaboration on technical implementations while driving adoption of best practices
  • Partner with platform architects to resolve complex data integration challenges and ensure production reliability
  • Influence technical roadmap based on deep understanding of healthcare data processing needs and hands-on implementation experience

Required Qualifications :

  • 8+ years of experience in data engineering, with demonstrated expertise in healthcare data processing and ETL architecture
  • Extensive hands-on experience building and deploying production ETL pipelines using modern cloud technologies
  • Deep technical knowledge of healthcare data standards and formats (FHIR, HL7v2, CDA, X12)
  • Domain knowledge of EHR-specific data formats and integration mechanisms (Epic Clarity, eClinicalWorks, Cerner or others)
  • Proven track record implementing enterprise data warehouse solutions (Snowflake, Databricks) and their associated ETL patterns
  • Strong history of directly building and deploying complex ETL solutions in regulated environments
  • Demonstrated ability to both architect solutions and implement them hands-on at enterprise scale
  • Advanced software engineering capabilities with extensive experience in :
  • Python (and especially modern Python-native patterns for type safety)
  • Azure cloud platform, services and patterns (Data Factory, Databricks, Fabric, networking, ADLS2, Onelake)
  • Advanced SQL and data modeling
  • Distributed computing and data processing frameworks
  • CI / CD pipelines for data infrastructure
  • Infrastructure as Code (IaC) tools and practices
  • Outstanding written and verbal communication skills, with ability to explain complex data architectures to varied audiences while documenting implementations thoroughly
  • Bachelor's degree in Computer Science, Engineering, or related field

    • Preferred Qualifications :

  • Extensive hands-on experience establishing clinical data feeds from Epic (and ideally other major EHRs) through FHIR, SFTP, Delta Sharing, Fabric External Shares, Snowflake Reader Accounts and similar patterns
  • Experience implementing data pipelines for AI / ML applications in healthcare
  • Deep expertise in Azure cloud services with hands-on implementation experience
  • Practical experience implementing HIPAA and HITRUST compliance requirements in data infrastructure
  • Track record building real-time data processing and streaming architectures
  • Relevant data engineering or cloud platform certifications
  • Master's degree in relevant field

    • Technical Environment :

    Our data infrastructure is built on modern cloud technologies including :

  • Azure Databricks + Data Factory
  • Plus Fabric and Snowflake integrations
  • PySpark
  • Github / Actions + Terraform for CI / CD and IaC

    • The role requires both deep expertise in these technologies and the ability to implement production-grade solutions using them.

    Impact & Growth Opportunity :

    As a Staff Data Engineer at Qualified Health, you'll play a crucial role in both building and evolving the data foundation that powers our AI platform's ability to deliver insights to major health systems. You'll have the opportunity to directly implement critical infrastructure while influencing our technical architecture and platform capabilities, working with cutting-edge technologies that improve healthcare delivery. This position offers significant visibility and growth potential as we scale our platform across the healthcare ecosystem.

    What We Offer :

  • Competitive startup salary and equity packages.
  • Health, dental, and vision insurance.
  • Flexible working hours and hybrid work options.
  • An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
  • A vibrant and inclusive work environment that fosters creativity and innovation.

    • Pay & Benefits : The pay range for this role is between $160,000 and $220,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

    Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

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    Staff Data Engineer • Palo Alto, CA, US