Data Engineer - ETL/Python Developer
Myticas Consulting · myticas.com
SpringfiedContract
Straight from the company’s own careers site.
The job in short
ETL and Python data pipeline development.
PythonSQLSparkSnowflakeDatabricksAzureOracleAudit
Details
- Found
- 6 d ago · posted 2026-10-11
- Location
- Springfied, Illinois
Full description
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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