Top Data Engineer Jobs in Chicago, IL

The Senior Data Engineer will design and implement data solutions for marketing analytics, manage data models, and collaborate with various teams to enhance data accessibility and insights.

The Senior Data Engineer will develop data pipelines and architecture for big data solutions, utilizing AWS and various data technologies, while collaborating within an Agile team.

As a Data Engineer, you will improve government data architectures and pipelines, optimize data processing, and collaborate with teams to enhance user experience.

As a Staff Data Engineer at 1Password, you will lead the architecture and development of data pipelines, enabling data-driven decision-making across the company. You will design and automate large-scale data processing systems and mentor team members in best practices while collaborating with various departments to align data strategy with business objectives.

As a Staff Data Engineer, you will design and optimize data systems, collaborate with cross-functional teams, and provide technical leadership while ensuring data quality and performance at scale.

The Senior Data Engineer at Carrum will develop data solutions, maintain data products, and collaborate with cross-functional teams to enhance analytics and infrastructure in the healthcare domain. The role involves managing data ingestion, processing, and ensuring compliance with regulations while contributing to the company's strategic objectives.

As the Data Engineering Lead, you will develop and maintain data pipelines and infrastructure, ensuring data integration and quality, while mentoring junior engineers and collaborating with cross-functional 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.

Lead the data architecture strategy and implementation using AWS technologies while integrating Machine Learning, AI, and real-time data streaming solutions. Collaborate across teams to ensure data-driven initiatives align with business goals and maintain high performance and scalability of data solutions.

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