Data Engineer (ETL / Python Developer)

DescriptionAt 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.Why You'll Love Working HereThe work matters beyond the warehouse. The pipelines you build support Medicaid programs and federal reporting that affect millions of people. At CSpring, that connection between craft and mission is something the whole team takes seriously.You'll be surrounded by people who care. The culture here is warm, collaborative, and grounded - people ask good questions, share what they know, and hold each other to a high standard.You'll work across a modern stack. This role spans Azure Data Factory, Databricks, Snowflake, Informatica, and Python-based frameworks - and you'll have the autonomy to build things the right way, not just the fast way.Your work is visible and your voice is heard. You'll work alongside architects, analysts, and program leads who want your input, not just your output.What You'll DoYou'll 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 frameworksBuild and optimize scalable data processing solutions using Python, Spark, and DatabricksSupport Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programsDevelop robust data validation, reconciliation, and audit-traceable pipelines that hold up under regulatory scrutinyWrite and optimize SQL and stored procedures across relational platforms including Snowflake, Oracle, and SQL ServerParticipate in cloud migration and modernization initiatives within Azure-based architectures, bridging legacy and modern platformsCollaborate closely with analysts, QA engineers, and BI reporting teams to make sure data is accurate, timely, and trustworthy at every stageFollow data engineering best practices for performance, reliability, reusability, and security - not just functionalitySupport production operations, incident resolution, and root-cause analysis when issues ariseParticipate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHubRequirements5+ years of data engineering experience with a focus on enterprise data warehousing5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or comparable tools5+ years of Python development for data engineering and automation3+ 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 ServerExperience 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 fieldPreferred QualificationsExperience supporting State Medicaid EDW or MMIS analytics environmentsHealthcare or public-sector analytics experience (Medicaid / Medicare preferred)Data modeling experience in enterprise data warehouse environmentsScripting experience with PowerShell or Bash for automation and orchestrationExperience designing or consuming REST APIs within data platformsFamiliarity with data quality frameworks, reconciliation, and audit supportAzure certifications in data engineering or analyticsAt CSpring, we unlock the potential of people and data. If you're ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment - apply today!