Top Data Engineer Jobs in Chicago, IL
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.
The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
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The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.
Seeking a Senior Director of Business Analytics at Skillsoft to drive strategic decisions through data analysis and provide actionable insights to senior leadership. Responsibilities include developing analytics best practices, leading a team of analysts, and providing financial planning support. Qualifications include 10+ years of experience in business analytics and strong leadership and analytical skills.
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.
As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, collaborate with finance and data analysts to define business metrics, ensure data quality and consistency, and create documentation to enhance data access for teams.
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.
Join the Data Center Selection team to improve the quality and cost of colocation sites while managing vendor relationships and driving best practices. Responsibilities include defining vendor strategies, managing deals end-to-end, and collaborating with internal teams to support infrastructure growth. Strong relationship management and negotiation skills are essential.
The Senior Data Engineer will design and develop robust data pipelines for data ingestion, processing, storage, and retrieval while optimizing data systems for efficiency. They will collaborate with cross-functional teams, enforce data governance policies, and ensure data integrity and compliance with regulations.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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