Senior ETLPython Developer

This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that support Medicaid analytics, federal reporting, and enterprise decision support.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.Job/Position DescriptionDesign, develop, and maintain enterprise level Dashboards/Reports usingBuild and optimize scalable data processing solutions using PythonSupport 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 asTeradataParticipate in cloud migration and modernization initiatives within Azure-based architecturesSupport production operations, incident resolution, and root-cause analysisParticipate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHubRequired Qualifications5+ years of Reporting and Dashboard with a focus on enterprise data warehousing5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.5+ years of Python development for data engineering and automation3+ 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 fieldStrong analytical, problem-solving, and troubleshooting skills Preferred QualificationsExperience supportingHealthcare or public-sector analytics experience (Medicaid / Medicare preferred)Data modeling experience in enterprise data warehouse environmentsScripting experience (PowerShell, Bash) for automation and orchestrationExperience designing or consuming APIs (REST) within data platformsFamiliarity with data quality frameworks, reconciliation, and audit supportAzure certifications related to data engineering or analytics