Top Data Engineer Jobs in Chicago, IL
Collaborate with business teams to implement and maintain enterprise-level business analytics and data warehousing solutions. Design and develop ETL processes, BI solutions, and self-service analytics tools using Power BI and Tableau. Lead onsite and offshore support teams and ensure compliance with industry best practices in the BI and Analytics space.
Manager of Applied Machine Learning to build ML models for customer insights and sales effectiveness. Work with product managers, engineers, and data scientists to create scalable ML solutions. Requires a Master's degree and experience in machine learning, cloud-based technologies, and data analytics.
Lead Principal Machine Learning Software Engineer
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The Data Quality & Consolidation Temp will be responsible for cleaning and organizing large datasets to ensure accuracy and consistency. Primary duties include identifying and correcting errors, duplicates, and inconsistencies in the data, updating and maintaining data records, collaborating with team members, and generating reports of data cleansing activities.
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Senior Data Engineer responsible for developing and implementing data pipelines, focusing on efficient ETL processes, creating scalable services for data tracking, and exploring alternative solutions for streamlined data processing. Hybrid work environment.
Responsible for defining and driving data governance within the Finance organization. Working closely with leaders and process owners to implement data policies and standards. Partnering across finance and technical teams to ensure data quality standards and consistency in financial data.
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The Analyst, Quantitative Developer will help with the implementation of efficiency-improving solutions for the assessment of residential real estate equity and debt investments.
Looking for a Senior Machine Learning Engineer to join our team in building and scaling our platform for access control and office automation. Responsibilities include building tools and data pipelines, optimizing algorithms, collaborating with cross-functional teams, conducting research, and generating patents or publications. Qualifications include a graduate degree in CS or a relevant field, 2+ years of industry experience, expert knowledge of C++ and/or Python, and experience in speech recognition.
Join Dropbox as a Senior Machine Learning Software Engineer to shape the future direction of the organization and innovate at scale. Collaborate with cross-functional teams to build large-scale Machine Learning systems and personalize user experiences.
Seeking a Staff Machine Learning Engineer/Architect to lead the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing AI architectures, frameworks, and algorithms, evaluating AI technologies, collaborating across teams, and deploying ML systems in production.
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