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Data Engineer - ETL/Python Developer

Myticas Consulting · myticas.com
SpringfiedContract
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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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