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Unlocking the power and potential of data.
ETL Developer, Python
Location
Illinois
Posted
75 days ago
Salary
0
Seniority
Senior
Job Description
ETL Developer, Python
CSpring
• You'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 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 make sure data is accurate, timely, and trustworthy at every stage. • Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.
Job Requirements
- 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
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 — people ask good questions, share what they know, and hold each other to a high standard.
- Your work is visible and your voice is heard.
- Collaborate closely with analysts, QA engineers, and BI reporting teams to make sure 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.
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