Top Data Engineer Jobs in Chicago, IL

As a Lead Data Engineer, you'll architect and maintain data pipelines, ensuring their reliability and scalability, while collaborating closely with AI and data teams.

As a Senior Data Engineer, you will build a centralized data lake on GCP, develop and optimize SPARK-powered data pipelines, and ensure data quality through validation checks. Collaborate with various teams to extract insights and maintain data models for analytics, while managing ETL/ELT processes and troubleshooting data issues.

The Staff Data Engineer will optimize data workloads, develop new data processing routes, and create ML solutions in the cybersecurity domain.

Lead the creation of a business intelligence data stack, implementing data pipelines and analytics solutions, and collaborating with teams to improve decision-making.

The Senior Data Analytics Engineer is responsible for designing, implementing, and maintaining ETL processes, ensuring data quality, and providing insights to support business growth.

As a Staff Data Engineer, you will design and optimize data pipelines, enhance ingestion architectures, and collaborate with enterprise customers and platform teams.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.