Senior Data Engineer - ETL & Python (Azure Cloud, Remote)

MSR Technology Group; Illinois; On-site; USD 120,000 - 160,000; Full time

Job summary

MSR Technology Group in the United States seeks a Senior Data Engineer (ETL/Python) to design, build, and maintain scalable data pipelines for an Enterprise Data Warehouse and analytics initiatives.

The role collaborates with architects, analysts, QA, project managers, and BI teams, working with Azure Data Factory, Informatica, Snowflake, Spark, and Databricks to ensure trusted, compliant data assets in a regulated environment.

Qualifications

• 5+ years in data engineering focusing on enterprise data warehousing.
• 5+ years ETL development using Informatica or Azure tools.
• 5+ years Python development for data engineering and automation.
• 3+ years Spark, Snowflake, Oracle, SQL Server experience.

Responsibilities

• Design, develop, and maintain enterprise ETL pipelines using ADF, PowerCenter, and Python.
• Build and optimize data processing using Python, Spark, and Databricks.
• Develop and optimize SQL queries across Snowflake, Oracle, and SQL Server.
• Apply data engineering best practices for performance, scalability, reliability, and security.
• Support healthcare analytics and regulatory reporting initiatives.
• Participate in cloud migration and Azure-based data architecture.
• Collaborate with cross-functional teams to deliver scalable data solutions.

Skills

Data engineering

ETL development

Python

SQL

Spark

Teradata

Azure Data Factory

PowerCenter

Azure Databricks

Snowflake

Oracle

SQL Server

Azure DevOps

GitHub

REST APIs

Education

Bachelor's degree or higher

Tools

Informatica PowerCenter

Azure Data Factory

Databricks

Job description

MSR Technology Group in the United States seeks a Senior Data Engineer (ETL/Python) to design, build, and maintain scalable data pipelines for an Enterprise Data Warehouse and analytics initiatives.

The role collaborates with architects, analysts, QA, project managers, and BI teams, working with Azure Data Factory, Informatica, Snowflake, Spark, and Databricks to ensure trusted, compliant data assets in a regulated environment.