Tableau / Python Developer

CSpring•Springfield, IL

About The Position

At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work — from data strategy and engineering to workforce transformation — improves lives across Indiana and beyond. We’re seeking talented professionals who are collaborative, curious, and committed to making a difference. In this role, you'll be the hands-on technical lead for dashboard, reporting, and data engineering work within a large-scale Medicaid EDW and analytics program. You'll design, develop, and maintain enterprise-level dashboards and reports using Tableau and Python-based frameworks, ensuring they're performant, reusable, and built to last. You'll build and optimize scalable data processing pipelines using Python, supporting both ongoing analytics needs and federal reporting requirements. You'll write and tune SQL and stored procedures across relational platforms — primarily Teradata — with a focus on accuracy and efficiency at enterprise scale. You'll support Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programs, working closely with SMEs and compliance teams. You'll participate in cloud migration and modernization work within Azure-based architectures, contributing to the shift from legacy systems toward modern platforms. You'll collaborate with analysts, QA teams, and BI reporting leads to validate data quality, resolve discrepancies, and ensure timely delivery of reporting deliverables. You'll support production operations — including incident response and root-cause analysis — and contribute to a stable, reliable analytics environment. You'll participate in code reviews, maintain source control hygiene, and work within CI/CD processes using Azure DevOps and GitHub.

Requirements

5+ years of experience in enterprise reporting and dashboard development, with a strong focus on Tableau and Business Objects
5+ years of hands-on Python development for data engineering and automation
3+ years working with Spark-based processing frameworks such as Databricks
Strong SQL expertise with experience in relational databases including Teradata, Snowflake, Oracle, or SQL Server
Demonstrated experience with source control and DevOps practices — Azure DevOps, GitHub, CI/CD pipelines
Bachelor's degree in Computer Science, Engineering, Analytics, or a related field
Strong analytical and troubleshooting skills, with a track record of solving complex data problems in regulated environments

Nice To Haves

Prior experience supporting a State Medicaid EDW or MMIS analytics environment
Healthcare or public-sector analytics background (Medicaid / Medicare strongly preferred)
Data modeling experience within enterprise data warehouse environments
Scripting experience with PowerShell or Bash for automation and orchestration
Experience designing or consuming REST APIs within data platforms
Familiarity with data quality frameworks, reconciliation processes, and audit support
Azure certifications in data engineering or analytics

Responsibilities

Design, develop, and maintain enterprise-level dashboards and reports using Tableau and Python-based frameworks.
Build and optimize scalable data processing pipelines using Python.
Write and tune SQL and stored procedures across relational platforms, primarily Teradata.
Support Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programs.
Participate in cloud migration and modernization work within Azure-based architectures.
Collaborate with analysts, QA teams, and BI reporting leads to validate data quality, resolve discrepancies, and ensure timely delivery of reporting deliverables.
Support production operations, including incident response and root-cause analysis.
Participate in code reviews, maintain source control hygiene, and work within CI/CD processes using Azure DevOps and GitHub.