Data Engineer - ETL Python Developer (36024)

Myticas Consulting; Illinois; Remote; USD 77,000 - 91,000; Full time

Job summary

Clover Consulting is seeking a Data Engineer - ETL/Python Developer for a 12+ month contract with a direct client in Springfield, IL. The role is remote with occasional travel to Illinois and requires deep expertise in ETL, Python, SQL, and cloud data platforms.

You will design and maintain enterprise data pipelines using Azure Data Factory, Informatica PowerCenter, Python, Spark, and Databricks, while ensuring data quality, governance, and scalable performance.

Qualifications

• 5+ years of data engineering experience focused 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 Spark-based processing frameworks (Databricks or equivalent).
• Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server).
• 3+ years of 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.

Responsibilities

• 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.
• 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.
• 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.

Skills

Data engineering

ETL development

Python

SQL

Snowflake

Databricks

Azure Data Factory

Informatica PowerCenter

Teradata

Spark

Education

Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field

Tools

Azure Data Factory

Informatica PowerCenter

Databricks

SnowSQL

Snowflake

Teradata

SQL Server

GitHub

Azure DevOps

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.