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. 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.
Data Integration Engineer
Location
United States
Posted
2 days ago
Salary
$130K - $180K / year
Job Description
Role Description
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.
Your roles are complementary:
- You own: Technical implementation, ETL development, data quality validation, pipeline construction, troubleshooting, and production deployment execution.
- Manager owns: Partner relationships, requirements gathering, timeline management, stakeholder communication, issue escalation, and ensuring delivery meets expectations.
- Together you deliver: 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, and takes pride in building reliable, production-grade solutions.
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
- Excel for data analysis and reporting
- Production ETL experience: Track record of building and maintaining production-grade data pipelines with proper error handling and monitoring.
- Data quality focus: Experience implementing validation frameworks and troubleshooting data quality issues.
- Healthcare data experience: Prior work with healthcare datasets (EHR, claims, clinical, lab data).
- Problem-solving mindset: Ability to independently diagnose and resolve complex technical issues.
- Attention to detail: Commitment to accuracy, testing, and delivering reliable solutions.
- Collaborative working style: Comfortable partnering with non-technical colleagues and adapting to feedback.
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field.
- Ability to work onsite in Houston, TX 2-3 days/week.
Requirements
- Epic Clarity experience: Direct work with Epic's relational database structure and clinical data models.
- Healthcare data standards knowledge: Understanding of FHIR, HL7v2, DICOM, LOINC, SNOMED, ICD-10.
- Azure cloud platform: Hands-on experience with Azure Databricks, Data Factory, Blob Storage, Delta Lake.
- Healthcare compliance awareness: Understanding of HIPAA requirements and healthcare data security best practices.
- Data warehouse/lakehouse experience: Familiarity with dimensional modeling and modern data architecture patterns.
- DevOps practices: Experience with Git, CI/CD pipelines, and infrastructure-as-code.
- Performance tuning: Proven ability to optimize complex data transformations for scale.
- LIMS/PACS experience: Prior work integrating laboratory or imaging systems data.
- Multiple data format fluency: Experience with JSON, XML, Parquet, CSV, and other healthcare interchange formats.
Benefits
- Competitive salaries with equity packages.
- Robust medical/dental/vision insurance.
- Flexible working hours.
- Hybrid work options.
- An inclusive environment that fosters creativity and innovation.
Company Description
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.
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.
Job Requirements
- 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 Excel for data analysis and reporting
- PySpark for distributed data processing
- Advanced SQL for data querying and transformation
- Excel for data analysis and reporting
- Production ETL experience: Track record of building and maintaining production-grade data pipelines with proper error handling and monitoring.
- Data quality focus: Experience implementing validation frameworks and troubleshooting data quality issues.
- Healthcare data experience: Prior work with healthcare datasets (EHR, claims, clinical, lab data).
- Problem-solving mindset: Ability to independently diagnose and resolve complex technical issues.
- Attention to detail: Commitment to accuracy, testing, and delivering reliable solutions.
- Collaborative working style: Comfortable partnering with non-technical colleagues and adapting to feedback.
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field.
- Ability to work onsite in Houston, TX 2-3 days/week.
- Epic Clarity experience: Direct work with Epic's relational database structure and clinical data models.
- Healthcare data standards knowledge: Understanding of FHIR, HL7v2, DICOM, LOINC, SNOMED, ICD-10.
- Azure cloud platform: Hands-on experience with Azure Databricks, Data Factory, Blob Storage, Delta Lake.
- Healthcare compliance awareness: Understanding of HIPAA requirements and healthcare data security best practices.
- Data warehouse/lakehouse experience: Familiarity with dimensional modeling and modern data architecture patterns.
- DevOps practices: Experience with Git, CI/CD pipelines, and infrastructure-as-code.
- Performance tuning: Proven ability to optimize complex data transformations for scale.
- LIMS/PACS experience: Prior work integrating laboratory or imaging systems data.
- Multiple data format fluency: Experience with JSON, XML, Parquet, CSV, and other healthcare interchange formats.
Benefits
- Competitive salaries with equity packages.
- Robust medical/dental/vision insurance.
- Flexible working hours.
- Hybrid work options.
- An inclusive environment that fosters creativity and innovation.
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