Data Integration Engineer with Gen AI
Posted 2 weeks ago by Recruitment.ai
Negotiable
Undetermined
Remote
Remote
Summary: The Data Integration Engineer role focuses on developing AI infrastructure for healthcare by transforming complex data into reliable pipelines. The position requires expertise in ETL processes and collaboration with a Data Integration Manager to meet partner requirements. Candidates should have a strong background in data engineering, particularly within healthcare data systems. This is a contract position that allows for remote work.
Key Responsibilities:
- Design and build ETL pipelines (PySpark, SQL, Azure) to process data from Epic, LIMS, PACS, and other healthcare systems
- Develop data quality validation frameworks and troubleshoot schema, transformation, and performance issues
- Build reusable integration components that speed up future implementations
- Collaborate with a Data Integration Manager to turn partner requirements into technical solutions
Key Skills:
- 5+ years in data engineering or analytics with strong ETL experience
- Proficiency in PySpark and advanced SQL
- Hands-on experience with healthcare data (EHR, claims, clinical, lab)
- Familiarity with Azure Databricks, Data Factory, or similar cloud platforms
- Knowledge of healthcare standards (FHIR, HL7v2, LOINC, ICD-10) is a plus
- Epic Clarity experience is a strong plus
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position - Data Integration Engineer
Location - Remote Role
Type - Contract Only on W2
We''re building AI infrastructure for healthcare — and we need a data engineer who loves turning messy, complex healthcare data into reliable, production-grade pipelines.
What You''ll Do
- Design and build ETL pipelines (PySpark, SQL, Azure) to process data from Epic, LIMS, PACS, and other healthcare systems
- Develop data quality validation frameworks and troubleshoot schema, transformation, and performance issues
- Build reusable integration components that speed up future implementations
- Collaborate with a Data Integration Manager to turn partner requirements into technical solutions
What You Bring
- 5+ years in data engineering or analytics with strong ETL experience
- Proficiency in PySpark and advanced SQL
- Hands-on experience with healthcare data (EHR, claims, clinical, lab)
- Familiarity with Azure Databricks, Data Factory, or similar cloud platforms
- Knowledge of healthcare standards (FHIR, HL7v2, LOINC, ICD-10) is a plus
- Epic Clarity experience is a strong plus
Tech Stack Azure Databricks · PySpark · Data Factory · GitHub Actions · Terraform · FHIR · Python