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Pursue Your Passion with Purpose

Job in Washington, District of Columbia, 20001, USA
Listing for: MDA Edge
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Job Description & How to Apply Below

Medicaid Data Systems Analyst

We are looking for a Medicaid Data Systems Analyst for supporting data modernization efforts. This is an on-site role in Washington, DC and the project is expected to last for 12+ months so our preference is for local applicants. The Medicaid Data Systems Analyst must have a bachelor's degree and 5+ years of relevant experience.

Key Responsibilities:
  • Lead Enterprise Data Catalog implementation (e.g., Microsoft Purview or Unity Catalog), including business glossary ownership for Medicaid data.
  • Document and verify end-to-end data lineage from raw MMIS sources through Databricks transformations to PowerBI reports.
  • Organize catalog for easy discovery by policy analysts, highlighting dataset sensitivity (PHI/PII) and update frequency.
  • Monitor Data Quality dashboards, alert on MMIS schema changes causing data drift or pipeline failures.
  • Collaborate on Fin Ops to analyze Azure consumption and purge unused datasets for cost optimization.
  • Validate Infrastructure as Code deployments for Row-Level Security and masking rules.
  • Audit and translate legacy SSIS logic from TFS into business requirements for Azure Data Factory and Databricks.
  • Map raw MMIS schemas to target Data Warehouse formats for BI tools.
Technical

Skills:
  • Expert T-SQL for data auditing and parity testing between SQL Server and Azure Synapse.
  • Hands-on with SSIS, SSAS, SSRS, Azure Databricks, and Azure Synapse.
  • MMIS data experience, including claims (837), eligibility (270/271), and T-MSIS reporting.
  • Familiarity with TFS for legacy logic review and Azure Dev Ops for project tracking.
  • Industry certification or training in relevant IT products/platforms/services.
Functional

Skills:
  • Leading advanced technology or service projects through full system engineering lifecycle.
  • Hands-on experience with specific IT platforms/products.
Behavioral

Skills:
  • Strong consulting leadership and full project lifecycle delivery.
  • Metadata architecture and governance expertise.
  • Collaboration with engineers, architects, and stakeholders on reliability, Fin Ops, and validation.
Nice-to-Have

Skills:
  • Certification in Data Governance (e.g., CDMP) or Cloud Fundamentals (e.g., Azure AZ-900).
  • Experience with Power BI or Tableau for data validation.
  • Hands-on with Microsoft Purview, Collibra, Informatica, or Alation.
Key Requirements:
  • Native or bilingual English proficiency.
  • DMV-area resident preferred.
  • Available for phone/video interview followed by in-person.
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