Senior Data Engineer

Senior Data EngineerLocation: Hybrid in Washington, DCNumber of Openings: 1Interview Type: Webcam Nearby states candidates only, but local preferred firstPosition Purpose: The Senior Data Engineer serves as the primary technical engine for the agency's Medicaid data ecosystem. This role requires a high-level mastery of the current legacy environment—characterized by SSIS ETL processes managed via Team Foundation Server (TFS)—while actively spearheading the execution of the 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.Key ResponsibilitiesETL 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.Competencies for Success:Technical Agility: The ability to pivot between a 10-year-old SSIS package and a modern Databricks Spark job in the same day.Collaboration: Ability to take high-level architectural blueprints from the Lead Architect and translate them into high-performance, production-ready code.Attention to Detail: Absolute precision in Medicaid data handling, where an error in logic can impact member benefits or federal funding.Minimum Education/Certification Requirements: Bachelor's degree in Information Technology or related field or equivalent experience Training or certification in a particular product or IT platform/service, as required