Top Data Engineer Jobs in Chicago, IL

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

The Chief Data Architect will lead data strategy and architecture efforts, design robust data architectures, oversee technology leadership, establish data governance, optimize data systems, mentor team members, and manage architecture projects within budget and scope.

The Director of Consumer Insights & Data Analytics will lead efforts to understand consumer behavior, drive marketing activities through data insights, and develop tools and frameworks to optimize the customer purchase journey and enhance overall business strategies.

The Presales Data Principal will work to understand client needs and design effective data solutions using SaaS technologies like Snowflake and Databricks. Responsibilities include technical storytelling, responding to RFPs, and leading all aspects of pre-sales processes. The role emphasizes interpersonal skills, deal conversion, and guiding clients on data best practices and AI/ML capabilities.