Data Engineer – ETL/Python Developer
Myticas LLC.
Remote · Springfied, IL · Posted October 11, 2026
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This listing does not state pay. Across 300 open data engineer listings that state pay, the middle half runs $115,000 to $157,000 and the median is $134,000.
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About the job
Location: Springfied, Illinois
Type: Contract
Job #36024
Clover Consulting has a direct client in Springfield, IL in need of an Data Engineer – ETL/Python Developer for a 12+ months contract. Job details are below. Qualified candidates please provide resume. Thank you!
Role: Data Engineer – ETL/Python Developer Location: Remote – occasional travel to Illinois possible Term: 12+ months contract, extensions possible Rate: $56 W2 – $66 C2C
Primary Responsibilities
Pipeline Development & Engineering
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. Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server. Follow data engineering best practices for performance, reliability, reusability, and security.
Analytics, Reporting & Data Quality
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care). Develop robust data validation, reconciliation, and audit-traceable data pipelines. Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness.
Modernization, Operations & Collaboration
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 DevOps and GitHub. Required Qualifications
5+ years of data engineering experience with a focus on enterprise data warehousing. 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools. 5+ years of Python development for data engineering and automation. 5+ years of Teradata experience, including Teradata loader utilities. 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent). Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server). 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python). Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD). Proven solid analytical, problem-solving, and troubleshooting skills. Periodic travel may be required based on project or customer needs. Preferred Qualifications
Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field. Azure certifications related to data engineering or analytics. 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 (PowerShell, Bash) for automation and orchestration. Experience designing or consuming APIs (REST) within data platforms. Familiarity with data quality frameworks, reconciliation, and audit support. Location & Work Model
Work Arrangement: Remote from anywhere within the U.S. Travel: Periodic travel may be required based on project or customer needs.
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