Qualifiedhealth23d ago

Data Integration Engineer - Healthcare Data Infrastructure

United StatesRemotemid

EngineeringDevOps & InfrastructureData EngineeringHealthcareData Integration Engineer

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Technical Implementation & Development (80%) Design and build ETL pipelines using PySpark, SQL,

Requirements Summary

Successful data integrations that meet partner needs on time with high quality This is a technical role for someone who loves working with data, enjoys solving puzzles,

Technical Tools

EngineeringDevOps & InfrastructureData EngineeringHealthcareData Integration Engineer

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.

Qualified Health is seeking a Data Integration Engineer to serve as the technical implementation specialist for our healthcare data integration initiatives. In this hands-on role, you'll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform. You'll work in close partnership with a Data Integration Manager who handles client relationships and program coordination, allowing you to focus on solving complex technical challenges, ensuring data quality, and building reusable integration patterns. Your roles are complementary:

Responsibilities

~1 min read

Our data infrastructure is built on modern cloud technologies including:

→Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)
→PySpark for distributed data processing
→GitHub Actions + Terraform for CI/CD and Infrastructure as Code
→Python with type-safe patterns and modern frameworks
→Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

High-quality data pipelines delivered on schedule with thorough testing and documentation
Proactive issue identification with technical problems caught and resolved before impacting partners
Reusable components that reduce implementation time for subsequent integrations
Clean production deployments with minimal post-launch issues
Technical credibility with partner IT teams based on quality of work
Efficient troubleshooting with quick diagnosis and resolution of data quality issues

As a Data Integration Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.

What We Offer

~1 min read

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $130,000 and $180,000, 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.