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# Senior Data Engineer

- **Company:** Talent Wave Associates, LLC
- **Location:** Waukegan, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Code Review, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Python (Programming Language), Performance Tuning, SQL Server Integration Services, Enterprise Data Management, Sql Optimization, Informatica Powercenter, Database Optimization, Pyspark, Information Technology, Software Coding, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/ec3a6f55-4ae9-493e-b800-c33ca2c1b33e/senior-data-engineer

## About the Role

* Bachelor's degree in Information Technology or a related field.
 * 8 years of experience in data engineering.
 * 5 years of experience developing enterprise ETL/data integration solutions using Informatica PowerCenter, SSIS, Databricks, or similar technologies.
 * Strong hands-on experience with data integration and ETL, primarily using Informatica.
 * Advanced SQL skills, including writing complex queries and database performance tuning.
 * Strong troubleshooting skills to identify and resolve data issues.
 * Experience with data warehousing, BI solutions, and enterprise reporting.
 * Exposure to Python, PySpark, and Databricks is preferred.

Preferred Qualifications

 * Deep Informatica PowerCenter and enterprise ETL/data integration experience.
 * Strong SQL development and performance tuning capabilities.
 * Experience building and supporting enterprise data pipelines and warehouse solutions.
 * A solid understanding of BI and reporting environments.
 * Exposure to Azure, Databricks, Python, and PySpark.

## Description

Are you ready to lead data modernization initiatives that leverage cutting-edge technologies to drive business growth across North America?, This position involves designing, developing, and delivering impactful BI, ETL, and data warehouse solutions. It plays a crucial role in the organization's data modernization strategy by utilizing Microsoft Azure, Databricks, and AI automation to enhance data accuracy and operational efficiency., * Design and deliver impactful BI and data warehouse solutions supporting business growth.

 * Drive data modernization initiatives by leveraging Azure, Databricks, and AI automation to improve data accuracy and operational efficiency.
 * Build scalable data engineering pipelines to enhance enterprise analytics and reporting.
 * Collaborate with cross-functional teams to develop, test, and implement data warehouse applications.
 * Maintain high-quality solutions through code reviews, coding standards, and ETL testing.
 * Provide technical guidance to a team of Data Engineers, promoting best practices and ensuring strong performance.