[Hiring] ETL / Python Developer @CSpring

Role Description

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.

What You’ll Do

• Design and maintain the data infrastructure that powers enterprise analytics and federal reporting for some of the nation's most critical public health programs.
• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks.
• Build and optimize scalable data processing solutions using Python, Spark, and Databricks.
• Support Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programs.
• Develop robust data validation, reconciliation, and audit-traceable pipelines that hold up under regulatory scrutiny.
• Write and optimize SQL and stored procedures across relational platforms including Snowflake, Oracle, and SQL Server.
• Participate in cloud migration and modernization initiatives within Azure-based architectures, bridging legacy and modern platforms.
• Collaborate closely with analysts, QA engineers, and BI reporting teams to ensure data is accurate, timely, and trustworthy at every stage.
• Follow data engineering best practices for performance, reliability, reusability, and security — not just functionality.
• Support production operations, incident resolution, and root-cause analysis when issues arise.
• Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.

Qualifications

• 5+ years of data engineering experience with a focus on enterprise data warehousing.
• 5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or comparable tools.
• 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 hands-on experience with relational databases including Snowflake, Oracle, or SQL Server.
• Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD pipelines).
• Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field.

Preferred Qualifications

• 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 with PowerShell or Bash for automation and orchestration.
• Experience designing or consuming REST APIs within data platforms.
• Familiarity with data quality frameworks, reconciliation, and audit support.
• Azure certifications in data engineering or analytics.

Benefits

• The work matters beyond the warehouse.
• The pipelines you build support Medicaid programs and federal reporting that affect millions of people.
• You'll be surrounded by people who care; the culture here is warm, collaborative, and grounded.
• You'll work across a modern stack including Azure Data Factory, Databricks, Snowflake, Informatica, and Python-based frameworks.
• Your work is visible and your voice is heard.