Data Engineer – ETL/Python Developer

  • 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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