Top Data Engineer Jobs in Chicago, IL

The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

The Sr. Data Architect will oversee the implementation of a patient-centric data model, manage data-related incidents, and ensure the efficiency of healthcare data systems. Responsibilities include evaluating existing systems, working with development teams on data models, and maintaining cloud database environments, specifically with Microsoft Azure, PostgreSQL, and Snowflake.

The Staff Associate Data Submissions role involves supporting data collection processes for Vizient’s ODB tool, managing project tasks, ensuring data quality, and training hospital program coordinators. You will analyze data for productivity benchmarking and communicate solutions to stakeholders effectively.

The Principal, Data Strategy, will lead the acceleration of clients’ web analytics strategies, focusing on data-driven transformations. Responsibilities include defining and implementing data strategies, supporting technology adoption, guiding internal and client education, and ensuring alignment of measurement frameworks. This role also involves optimizing data fluidity and contributing to new business pitches.

The Senior Consultant, Data Strategy will lead clients through data-driven transformations, developing strategies and frameworks for data utilization. This role involves defining learning agendas, evaluating technology partners, and activating marketing solutions backed by data insights, ensuring alignment and value realization through digital solutions.

The Principal, Data Strategy leads clients through data-driven transformations by developing and executing strategies that leverage digital data and technology. Responsibilities include defining data strategy frameworks, working with stakeholders to enhance data usage in marketing, and providing thought leadership in data technologies and solutions.