Data Integration Engineer - Healthcare Data Infrastructure
Posted on February 21, 2026 (3 months ago)
This job post is archived - the company is no longer hiring for this position.
Check out other job posts of this company here!Data Integration Engineer - Healthcare Data Infrastructure
Transform healthcare with us.
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 will 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 will work closely with a Data Integration Manager who handles client relationships and program coordination, allowing you to focus on technical challenges, data quality, and reusable integration patterns.
Key Responsibilities
Technical Implementation & Development (80%)
- Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems
- Execute data extraction and transformation operations on complex healthcare datasets, ensuring accuracy and compliance with established standards
- Develop data quality validation frameworks to identify and resolve issues during integration, QC, and backtesting phases
- Troubleshoot technical issues including data schema mismatches, transformation logic errors, and performance bottlenecks
- Build reusable data components and standardized integration patterns that accelerate future implementations
- Optimize pipeline performance for large-scale healthcare datasets, ensuring efficient processing and resource utilization
- Implement data validation rules specific to healthcare contexts (for example, clinical code validation, temporal logic checks, referential integrity)
- Write and maintain technical documentation for data pipelines, transformations, and integration patterns
- Support production deployments by coordinating with infrastructure teams and conducting final testing
Collaboration & Problem-Solving (20%)
- Partner with Data Integration Manager to translate partner requirements into technical specifications
- Participate in technical discussions with partner IT teams to understand data schemas, access methods, and integration constraints
- Provide technical guidance on data mapping specifications and transformation approaches
- Identify data quality issues and work with Manager to coordinate resolution with partners
- Share technical findings from QC and backtesting with Manager to inform partner conversations
- Contribute to continuous improvement of tools, processes, and technical standards
Required Qualifications
- 5+ years of experience in data analytics, data engineering, or solution delivery roles, with demonstrated expertise in data integration and ETL processes
- Strong analytical toolkit with proficiency in PySpark for distributed data processing, advanced SQL for data querying and transformation, and Excel for data analysis and reporting
- Production ETL experience with a track record of building and maintaining production-grade data pipelines with proper error handling and monitoring
- Data quality focus with experience implementing validation frameworks and troubleshooting data quality issues
- Healthcare data experience including work with EHR, claims, clinical, and lab data
- Problem-solving mindset and attention to detail
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
Preferred Skills
- Epic Clarity experience working with Epic's relational database and clinical data models
- Healthcare data standards knowledge such as FHIR, HL7v2, DICOM, LOINC, SNOMED, ICD-10
- Azure cloud platform experience with Azure Databricks, Data Factory, Blob Storage, Delta Lake
- Healthcare compliance awareness including HIPAA and data security best practices
- Data warehouse/lakehouse experience and familiarity with dimensional modeling and modern data architecture patterns
- DevOps practices including Git, CI/CD pipelines, and infrastructure-as-code
- Performance tuning for complex data transformations at scale
- LIMS/PACS experience integrating laboratory or imaging systems data
- Multiple data format fluency with JSON, XML, Parquet, CSV, and other healthcare interchange formats
Technical Environment
Our data infrastructure is built on modern cloud technologies including Azure Databricks + Data Factory (plus Fabric and Snowflake integrations), PySpark for distributed processing, GitHub Actions + Terraform for CI/CD and IaC, and Python with type-safe patterns. We work with healthcare data formats including FHIR and Epic Clarity.
What Success Looks Like
- High-quality data pipelines delivered on schedule with thorough testing and documentation
- Proactive issue identification with technical problems 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
- Efficient troubleshooting and quick resolution of data quality issues
Impact & Growth Opportunity
As a Data Integration Engineer at Qualified Health, you will build the data infrastructure that powers AI-driven insights for major health systems. This role offers deep technical learning in healthcare data and growth potential into senior technical or platform architecture roles as the company scales.
Why Join Qualified Health?
Join a fast-growing, mission-driven company building a category-defining product. We 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.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer committed to a diverse and inclusive workplace. 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, depending on skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
How to Apply
To apply, please submit your resume through the application form on this job page.
Application Details
You can apply by clicking the "Apply" button on the job listing and completing the Greenhouse application. The role requests a resume/CV and optionally a cover letter. Accepted file types: pdf, doc, docx, txt, rtf.