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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90719985
- Position Id: dd66456c261e248a2504ded53c0eeab5
- Posted 30+ days ago
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