Full Time

Data Engineer - ETL Python Developer (36024)

Myticas Consulting
Contract
Mid-Senior level
Government Administration
Illinois, United States
$95,000 - $140,000* / year (about $46–$67 an hour)

Job 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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