Collaboredge Inc · 5 hours ago
DHCF Medicaid Data Systems Analyst
Washington, DC
Full-time
Onsite
Senior Level
$70/hr - $77/hr
5+ years expCollaboredge Inc is looking for a contractor to assist in the data modernization efforts associated with DHCF. The Medicaid Data Systems Analyst will lead the implementation of an Enterprise Data Catalog and manage the transition of business logic to the Azure/Databricks environment, ensuring data integrity and governance throughout the process.
Information Services
No H1B
U.S. Citizen Only
Responsibilities
Position Purpose The Medicaid Data Systems Analyst is the functional anchor for the agency’s data modernization. This role ensures the technical infrastructure remains trustworthy by leading the implementation of an Enterprise Data Catalog and managing the transition of business logic from TFS/SSIS to the Azure/Databricks environment
Data Catalog Implementation & Metadata Governance
Business Glossary Ownership: Lead the implementation of the Enterprise Data Catalog (e.g., Microsoft Purview or Unity Catalog)from a functional perspective. Define and maintain the business glossary for all Medicaid data
Data Lineage Mapping: Document and verify end-to-end data lineage—from the raw MMIS source table through the transformation layer in Databricks to the final PowerBI report
Discovery & Search: Organize the catalog so that policy analysts and actuaries can easily discover Medicaid datasets, understand their sensitivity (PHI/PII), and view their update frequency
Data Reliability Engineering: Support the infrastructure’s health by monitoring Data Quality (DQ) dashboards. Alert the Senior Data Engineer if upstream MMIS schema changes cause data drift or pipeline failures
FinOps Collaboration: Partner with the Senior Data Engineer to analyze cloud consumption. Identify unused or redundant datasets that can be purged or archived to optimize Azure storage and compute costs
Infrastructure Validation: Verify that the "Infrastructure as Code" deployments (Managed by the Engineer) correctly apply the Row-Level Security (RLS) and masking rules defined by the Lead Architect
Legacy-to-Cloud Logic Audit: Translate legacy SSIS logic stored in TFS into clear business requirements for the Engineer to rebuild in Azure Data Factory and Databricks
Target Mapping: Take raw table schemas from the current MMIS and define the "Target" format for the Data Warehouse, ensuring it meets the specific needs of modern BI tools
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
Qualification
Required
Bachelor's degree in Information Technology or related field or equivalent experience
Expert T-SQL skills for deep-dive data auditing and parity testing between legacy SQL Server and Azure Synapse
Experience with MMIS data, specifically claims (837), eligibility (270/271), and T-MSIS federal reporting
Familiarity with TFS (for reviewing legacy logic) and Azure DevOps (for modern project tracking)
Industry certification/training in specific IT product/platform or service
Hands-on experience in specific product or IT platform
5 yrs full system engineering lifecycle
Extensive criminal history background check will be required
Preferred
Certification in Data Governance (e.g., CDMP) or Cloud Fundamentals (e.g., Azure AZ-900)
Experience with Power BI or Tableau to validate that transformed data meets visualization requirements
Hands-on experience with Microsoft Purview, Collibra, Informatica and Alation
Company
Collaboredge Inc
Collaboredge Inc.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase