Top Retail Data Engineering Jobs in Chicago, IL

Designs and implements data ingestion and transformation processes, automates quality checks, and maintains data pipeline reliability while supporting cloud integrations and Agile practices.

The Senior Data Engineer will develop and maintain data pipelines and products, collaborating with various teams to integrate data sources for analytics and reporting.

The role involves designing and building scalable data products, translating business needs into trusted data, and maintaining data quality for analytics at Upside.

Analyze current manual processes for improvement, define problem scopes, and develop automation solutions using Excel and VBA. Strong SQL skills required.

The Staff Data Engineer will architect and build scalable data pipelines, develop internal tools and APIs, and modernize data operations, focusing on data quality and self-service platforms.

Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.

The Data Engineer III will lead the development and maintenance of data infrastructure and tools, ensuring data integrity while driving strategic data initiatives.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.