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Sr ETL Developer role (HEDIS)

Salary undisclosed
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ETL Developer role (HEDIS)
Location: REMOTE
Note : Required 13+ Years Experience
Job Summary:
We are looking for skilled ETL Developers to support a HEDIS refactoring project. This role requires expertise in ETL, big data processing, and cloud-based data platforms to support healthcare analytics. The Data Engineers will work closely with Data Analysts to ensure high-quality, efficient, and scalable data pipelines.
Key Responsibilities:
1. Data Pipeline Development & Automation:
Develop and maintain ETL pipelines to load healthcare data into the HEDIS data marts
Automate data ingestion and transformation workflows using Azure Data Factory (ADF), PySpark, and Databricks.
Optimize SQL queries and data processing logic for performance and scalability.
2. Data Modeling & Storage:
Design and implement data models to support HEDIS analytics and reporting.
Ensure efficient storage and retrieval of Claims, Clinical, Labs, Immunization, and Encounter data.
Implement data partitioning, indexing, and caching strategies for performance tuning.
3. Data Quality & Governance:
Implement data validation, anomaly detection, and reconciliation processes.
Work with the Lead Data Analyst to ensure compliance with HEDIS data quality standards.
Develop and maintain data lineage and metadata management frameworks.
4. Collaboration & Support:
Work closely with Data Analysts to understand reporting and analytics needs.
Provide support for troubleshooting data issues and optimizing query performance.
Document ETL workflows, data models, and system configurations.
Required Qualifications & Skills:
Technical Expertise:
Databases: SQL Server, Databricks
ETL & Workflow Automation: SSIS, ADF (Azure Data Factory)
Programming: Python, SQL, PySpark
Cloud & Storage: Azure, AWS (preferred Azure)
Healthcare Data Knowledge:
Exposure to Claims, Clinical, Lab, Immunization, and Encounter data.
Understanding of HEDIS quality measures and data submission processes.
Soft Skills:
Strong problem-solving and troubleshooting skills.
Ability to collaborate with cross-functional teams and work independently.
Excellent written and verbal communication skills.
Preferred Qualifications:
Experience Datawarehouse, ETL/ELT, Data Modeling
Exposure to FHIR, HL7, and healthcare interoperability standards
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
ETL Developer role (HEDIS)
Location: REMOTE
Note : Required 13+ Years Experience
Job Summary:
We are looking for skilled ETL Developers to support a HEDIS refactoring project. This role requires expertise in ETL, big data processing, and cloud-based data platforms to support healthcare analytics. The Data Engineers will work closely with Data Analysts to ensure high-quality, efficient, and scalable data pipelines.
Key Responsibilities:
1. Data Pipeline Development & Automation:
Develop and maintain ETL pipelines to load healthcare data into the HEDIS data marts
Automate data ingestion and transformation workflows using Azure Data Factory (ADF), PySpark, and Databricks.
Optimize SQL queries and data processing logic for performance and scalability.
2. Data Modeling & Storage:
Design and implement data models to support HEDIS analytics and reporting.
Ensure efficient storage and retrieval of Claims, Clinical, Labs, Immunization, and Encounter data.
Implement data partitioning, indexing, and caching strategies for performance tuning.
3. Data Quality & Governance:
Implement data validation, anomaly detection, and reconciliation processes.
Work with the Lead Data Analyst to ensure compliance with HEDIS data quality standards.
Develop and maintain data lineage and metadata management frameworks.
4. Collaboration & Support:
Work closely with Data Analysts to understand reporting and analytics needs.
Provide support for troubleshooting data issues and optimizing query performance.
Document ETL workflows, data models, and system configurations.
Required Qualifications & Skills:
Technical Expertise:
Databases: SQL Server, Databricks
ETL & Workflow Automation: SSIS, ADF (Azure Data Factory)
Programming: Python, SQL, PySpark
Cloud & Storage: Azure, AWS (preferred Azure)
Healthcare Data Knowledge:
Exposure to Claims, Clinical, Lab, Immunization, and Encounter data.
Understanding of HEDIS quality measures and data submission processes.
Soft Skills:
Strong problem-solving and troubleshooting skills.
Ability to collaborate with cross-functional teams and work independently.
Excellent written and verbal communication skills.
Preferred Qualifications:
Experience Datawarehouse, ETL/ELT, Data Modeling
Exposure to FHIR, HL7, and healthcare interoperability standards
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job