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// POSTED: Apr 15, 2026

Senior Tableau / Python Developer

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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 Required Qualification: - 5+ years of Reporting and Dashboard with a focus on enterprise data warehousing - 5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects. - 5+ years of Python development for data engineering and automation - 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent) - Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server) - Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD) - Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field - Strong analytical, problem-solving, and troubleshooting skills Preferred Qualification: - Experience supporting State Medicaid EDW or MMIS analytics environments - Healthcare or public-sector analytics experience (Medicaid / Medicare preferred) - Data modeling experience in enterprise data warehouse environments - Scripting experience (PowerShell, Bash) for automation and orchestration - Experience designing or consuming APIs (REST) within data platforms - Familiarity with data quality frameworks, reconciliation, and audit support - Azure certifications related to data engineering or analytics
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