Top Hybrid Data Engineering Jobs in Chicago, IL

The Data Engineer III will develop data pipelines, integrate enterprise data, and optimize data processes in a cloud environment, working closely with various teams.

The eDiscovery Data Specialist will execute data operations, develop Python scripts, manage client communications, and optimize workflows using advanced Excel and ticketing systems.

The Knowledge Systems Architect will design systems for knowledge organization, automate documentation processes, and enhance knowledge artifact legibility to support AI effectiveness in the R&D environment.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

The role involves developing and maintaining complex programs for litigation applications, translating requirements into code, and refining programs for efficiency.

Lead the design and development of scalable AWS data platforms, implement production-grade data pipelines, and provide technical direction to a team of data engineers. Define enterprise standards and ensure high-quality data products for analytics and reporting.

As a Sr Data Engineer, you'll design and optimize data pipelines for marketing insights, working with cross-functional teams to support data governance and performance measurement.

The Director of Data Engineering will lead the data engineering team, manage the Microsoft Fabric platform, and ensure data quality for analytics and AI initiatives while mentoring engineers and collaborating with cross-functional teams.