The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms.

Primary Responsibilities:

• Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks.
• Build and optimize scalable data processing solutions using Python.
• Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
• Write and optimize SQL and stored procedures across relational platforms such as Teradata.
• Participate in cloud migration and modernization initiatives within Azure-based architectures.
• Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness.
• Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security.
• Support production operations, incident resolution, and root-cause analysis.
• Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.