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Qualified Health · 1 month ago

Staff Data Engineer - Healthcare Data Infrastructure

United States

Full-time

Remote

Senior Level, Lead/Staff

$140K/yr - $220K/yr

6+ years exp

Qualified Health is a company focused on transforming healthcare through Generative AI. They are seeking a Staff Data Engineer to build scalable data pipelines and collaborate with health systems to deliver reliable healthcare data solutions.

Artificial Intelligence (AI)Health CareMedical

H1B Sponsor Likely

Responsibilities

Design, implement, and maintain production-grade data pipelines that process complex healthcare data at scale

Build ETL/ELT solutions using modern cloud technologies and distributed computing frameworks

Work with healthcare data standards including FHIR, HL7v2, and EHR-specific formats

Ensure data quality, reliability, and compliance through comprehensive validation and monitoring

Collaborate with cross-functional teams, customers, and stakeholders to deliver data solutions

Debug and optimize pipeline performance in production environments

Contribute to technical architecture decisions and platform evolution

Document implementations and communicate technical concepts to varied audiences

Qualification

Data engineering experienceHealthcare data standardsSQL proficiencyPython expertiseCloud platform experienceETL/ELT implementationProblem-solving abilityCommunication skillsHealthcare integration expertiseData quality assessmentCI/CD pipeline developmentInfrastructure as CodeReal-time data processingRelevant certifications

Required

6+ years of data engineering and/or related experience building and deploying production data pipelines

Healthcare data experience working with clinical data standards (FHIR, HL7v2, CDA, X12) or EHR systems

Strong SQL proficiency with ability to write complex queries, perform data modeling, and optimize performance

Python expertise with modern development practices and frameworks

Cloud platform experience (Azure, AWS, or GCP) with hands-on use of core data services

ETL/ELT implementation using modern tools such as Databricks, Data Factory, Airflow, dbt, or similar platforms

Proven problem-solving ability to independently debug complex data issues and drive solutions

Excellent communication skills with ability to explain technical concepts clearly and document work thoroughly

Bachelor's degree in Computer Science, Engineering, or related field

Preferred

Direct experience establishing clinical data feeds from Epic, Cerner, eClinicalWorks, or other major EHR systems

Knowledge of EHR-specific data formats and integration mechanisms (Epic Clarity, Chronicles, etc.)

Experience with healthcare integration patterns including FHIR APIs, SFTP, Delta Sharing, Fabric External Shares, Snowflake Reader Accounts

Customer-facing experience managing technical implementations and timelines

Understanding of HIPAA and HITRUST compliance requirements in data infrastructure

Healthcare data science or analytics background with understanding of clinical data models

Experience designing sophisticated, configurable transformation logic and validation frameworks

Expertise in data profiling, quality assessment, and building rule-based quality engines

Strong instincts for identifying data quality issues and patterns in complex healthcare datasets

Experience building data pipelines for AI/ML applications

Advanced experience with PySpark and distributed computing frameworks

Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar)

CI/CD pipeline development using GitHub Actions, Azure DevOps, GitLab, or similar

Experience building reusable data engineering abstractions, frameworks, and developer tooling

Production monitoring, alerting, and observability solutions (DataDog, Grafana, Prometheus, or similar)

Track record establishing operational excellence standards for data systems

Deep expertise in Azure cloud services (Databricks, Data Factory, Fabric, ADLS2, networking)

Experience with modern data warehouse solutions (Snowflake, Databricks, Fabric)

Real-time data processing and streaming architectures

Advanced Python patterns for type safety and modern development

Relevant certifications (Azure Data Engineer, Databricks, Snowflake, etc.)

Master's degree in Computer Science, Engineering, or related field

Benefits

Equity packages

Robust medical/dental/vision insurance

Flexible working hours

Hybrid work options

Company

Qualified Health

Qualified Health is an integrated generative AI into a healthcare platform that offers continuous monitoring of algorithm performance.

Founded in 2023

San Carlos, California, USA

51-200 employees

https://www.qualifiedhealthai.com

H1B Sponsorship

Qualified Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)