Top Data Engineer Jobs in Chicago, IL

Develop and maintain the vision, roadmap, and strategy for the research and development product within the Decisioning Platform at Discover. Collaborate with stakeholders to align product features with business goals and lead the design and implementation of new product strategies. Define KPIs and OKRs, create prototypes based on customer feedback, and oversee product lifecycle activities.

The Staff Data Engineer at Square Banking will design and build a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building core datasets, and partnering with cross-functional teams to accelerate product decision-making processes.

Work as a Data Engineer at McDonald's to drive Generative AI solutions by developing AI-powered solutions, collaborating with data engineers, and designing end-to-end solutions using Python and Google Cloud Platform.

Grainger is seeking an Applied Machine Learning Scientist to build innovative ML solutions in Search, Information Retrieval, Recommendations, and Conversational Product Finding. The role involves working with product managers, data scientists, engineers, and analysts to create scalable ML solutions.

Lead the Products & Technology Risk and Quality team within PwC's One Firm Risk Organization, focusing on technology and data risks, regulatory compliance, and risk management. Responsible for developing, interpreting, and monitoring risk management policies and facilitating client engagement teams in assessing and managing risks effectively.

The Sr. Data Engineer at Inspira Financial empowers business leaders to make decisions and drive outcomes by delivering data assets efficiently and securely in a cloud enterprise environment. Responsibilities include designing data models, managing enterprise data models, implementing databases and reporting, developing data cloud services, and supporting data governance initiatives using tools like Python, SQL, AWS, Azure, and Snowflake.

The Operations Data Analytics Senior Associate is responsible for supporting analytics workstreams on critical cross-functional projects within global Operations, providing insights for business decisions, and developing data-driven operational improvement projects. This role involves data clean-up, analysis, trend identification, recommendation-making, and collaboration with stakeholders.