Data Engineer V
Tasks
- Apply healthcare business rules
- Automate data quality reconciliation and validation processes
- Collaborate with vendors and cross-functional teams
- Contribute to enterprise data governance standards
- Create and maintain analytics ready fact and dimension tables
- Design build and optimize enterprise data pipelines using Microsoft Fabric Data Factory
- Develop reusable pipeline patterns standards and best practices
- Investigate and resolve data quality issues
- Lead Microsoft Fabric development across OneLake Lakehouse and Warehouse
- Lead ingestion and integration of healthcare payer data
- Maintain workspace domain and security standards
- Optimize SQL and Spark transformations
- Review code data models and pipelines for quality maintainability and compliance
- Support CMS state Medicaid and financial audit readiness
- Translate business and analytics requirements into technical solutions
- Troubleshoot complex pipeline failures and performance issues
Perks/Benefits
- N/A
Skills/Tech-stack
Audit Readiness | CMS reporting | CPT | DRG | Data Factory | Data Governance | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Dimension tables | Fact tables | HIPAA | Healthcare Data | ICD | Integration Services | Lakehouse | Medicaid | Microsoft Fabric | NPI | OneLake | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Security Governance | Server Integration Services | Spark | Warehouse
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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