Senior Data Engineer – ETL, Python & Azure Data Platform

CSpring; Indianapolis (IN); On-site; USD 110,000 - 150,000; Full time

Job summary

CSpring is a data-focused consulting firm seeking a senior Data Engineer to design and maintain enterprise ETL pipelines. You will work with Azure Data Factory, Informatica PowerCenter, and Python-based frameworks to build scalable data processing solutions.

Responsibilities include writing SQL across Snowflake, Oracle, and SQL Server, and supporting Medicaid analytics projects. You will collaborate with analysts and QA, contribute to cloud migrations, and participate in CI/CD practices to

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 Spark-based processing frameworks (Databricks or equivalent).

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 development

SQL

Azure Data Factory

Databricks

Snowflake

Teradata

CI/CD

Azure DevOps

GitHub

Education

Bachelor's degree or higher in CS/Engineering/Analytics

Tools

Informatica PowerCenter

Teradata utilities

Job description

CSpring is a data-focused consulting firm seeking a senior Data Engineer to design and maintain enterprise ETL pipelines. You will work with Azure Data Factory, Informatica PowerCenter, and Python-based frameworks to build scalable data processing solutions.

Responsibilities include writing SQL across Snowflake, Oracle, and SQL Server, and supporting Medicaid analytics projects. You will collaborate with analysts and QA, contribute to cloud migrations, and participate in CI/CD practices to