DHCF Senior Data Engineer (793454)

Advanced Network Consulting Inc

About The Position

DHCF is looking for a senior data engineer for its data modernization efforts associated with its Medicaid data ecosystem. 1. Position Purpose The Senior Data Engineer serves as the primary technical engine for the agency's Medicaid data ecosystem. This role is unique: it requires a high-level mastery of our current legacy environment—characterized by SSIS ETL processes managed via Team Foundation Server (TFS)—while actively spearheading the execution of our cloud modernization roadmap. Under the direction of the Lead Data Warehouse Solution Architect, you will ensure the stability of current Medicaid reporting while building the future-state Azure Synapse and Databricks Lakehouse. 2. Key Responsibilities A. Legacy Maintenance & Operational Excellence (Current State) ETL Management: Maintain, troubleshoot, and modify complex SSIS packages handling high-volume Medicaid claims, provider, and member data. Version Control: Manage code deployments and branching strategies within TFS, ensuring continuous integration of legacy SQL assets. Legacy Reporting Support: Support and optimize SSRS report queries and SSAS tabular/multidimensional models to ensure federal and state compliance reporting remains uninterrupted. B. Modernization & Migration Execution (Future State) Cloud Development: Implement "Medallion Architecture" (Bronze/Silver/Gold) using Azure Databricks (PySpark/SQL) as designed by the Lead Architect. Pipeline Refactoring: Lead the transition of legacy SSIS logic into Azure Data Factory (ADF) and Databricks notebooks. DevOps Transformation: Facilitate the migration of source control and CI/CD pipelines from TFS to Azure DevOps (Git). Synapse Integration: Build and tune Dedicated and Serverless SQL Pools within Azure Synapse to facilitate advanced analytics and AI-readiness. C. Data Governance & Security Medicaid Compliance: Implement Row-Level Security (RLS) and automated data masking for PHI/PII in accordance with HIPAA, CMS MARS-E, and NIST standards. Data Quality: Develop automated data validation frameworks to ensure data parity between legacy SQL systems and the new Cloud Lakehouse.

Requirements

Maintaining SQL Server (SSIS/SSAS/SSRS) while concurrently deploying Azure cloud solutions--Required 7 Years
Expert-level proficiency in SSIS and T-SQL. Advanced proficiency in Azure Databricks (Unity Catalog, Delta Lake) and Azure Synapse--Required 7 Years
Deep experience with TFS (Team Foundation Server) and a strong desire to migrate workflows to Git/Azure DevOps--Required 7 Years
Mastery of SQL and Python (PySpark)--Required 7 Years
6-10 yrs. leading advanced technology projects or service projects--Required 7 Years
6-10 yrs. full system engineering lifecycle--Required 7 Years
Bachelor’s degree--Required

Nice To Haves

Experience with Microsoft Purview for data cataloging--Highly desired 3 Years
Extensive experience with Medicaid/Medicare data structures (e.g., MMIS, EDI 837/835, claims processing)--Highly desired 3 Years
Microsoft Certified: Azure Data Engineer Associate or Databricks Certified Professional Data Engineer--Highly desired
Experience in a government or highly regulated environment--Highly desired 7 Years

Responsibilities

Leads the adoption or implementation of an advanced technology or platform.
Expert on the functionality or usage of a particular system, platform, or technology product.
Serves as a consultant to clients, guiding the efficient use or adoption of a particular IT product or platform.
Creates implementation, testing, and/or integration plans.
Demonstrates expertise in a particular IT platform or service, allowing for maximum IT investment.
ETL Management: Maintain, troubleshoot, and modify complex SSIS packages handling high-volume Medicaid claims, provider, and member data.
Version Control: Manage code deployments and branching strategies within TFS, ensuring continuous integration of legacy SQL assets.
Legacy Reporting Support: Support and optimize SSRS report queries and SSAS tabular/multidimensional models to ensure federal and state compliance reporting remains uninterrupted.
Cloud Development: Implement "Medallion Architecture" (Bronze/Silver/Gold) using Azure Databricks (PySpark/SQL) as designed by the Lead Architect.
Pipeline Refactoring: Lead the transition of legacy SSIS logic into Azure Data Factory (ADF) and Databricks notebooks.
DevOps Transformation: Facilitate the migration of source control and CI/CD pipelines from TFS to Azure DevOps (Git).
Synapse Integration: Build and tune Dedicated and Serverless SQL Pools within Azure Synapse to facilitate advanced analytics and AI-readiness.
Medicaid Compliance: Implement Row-Level Security (RLS) and automated data masking for PHI/PII in accordance with HIPAA, CMS MARS-E, and NIST standards.
Data Quality: Develop automated data validation frameworks to ensure data parity between legacy SQL systems and the new Cloud Lakehouse.