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.

• Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and other BI tools.
• 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.
• Support production operations, incident resolution, and root‑cause analysis.
• Participate in code reviews, source control, and CI/CD processes using Azure Dev Ops and Git Hub.

• 5+ years of reporting and dashboard development with a focus on enterprise data warehousing.
• 5+ years of hands‑on reporting and dashboard development using Tableau and 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 Dev Ops practices (Azure Dev Ops, Git Hub, CI/CD).
• Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field.
• Strong analytical, problem‑solving, and troubleshooting skills.

• Healthcare or public‑sector analytics experience (Medicaid / Medicare preferred).
• Data modeling experience in enterprise data warehouse environments.
• Scripting experience (Power Shell, 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.