Top Senior Level Data Engineer Jobs in Chicago, IL
Design and maintain databases, participate in systems development projects, monitor and tune database performance, provide support in database analysis and modeling, develop maintenance procedures, participate in disaster recovery drills, provide primary on-call support, recommend new DBMS standards, support business studies, and prepare system documentation.
Lead centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams. Architect Square's Data strategy, drive technical roadmap, establish data governance principles, enhance product innovation, deliver impactful insights, attract and develop top-tier data team.
Lead centralized Data functions at Square, overseeing Data Science, Analytics, Machine Learning, and Engineering teams. Develop data strategy, drive insights for business decisions, and build top-tier data team.
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Lead Data Solution Architects for various worksites throughout the US, combining digital and marketing analytics knowledge to deliver analytic reporting to clients. Responsibilities include data analysis, visualization design, software utility creation, and more.
Leading a team of data and infrastructure engineers in the overall delivery of data solutions for advanced data science and analytics. Working on transforming transportation by analyzing massive data sets and collaborating with diverse product teams to create innovative products.
Responsible for execution of data risk management vision, leading a team specialized in reviewing data management controls, and ensuring compliance with policies/standards. Manages, coaches, and develops team members, partners with business and technology to address data risk, and executes corporate risk initiatives.
The Senior Data Operations Specialist at ServiceNow plays a significant role in evolving data services and capabilities for AI and Machine Learning solutions, providing support to engineering teams, and ensuring superior service in handling customer datasets.
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving revenue growth. Must have experience in customer lifecycle analysis, digital campaigns, and growth analytics in a SaaS environment. Responsibilities include developing quantitative models, identifying trends, and building data foundations for long-term growth.
Seeking a Senior Data Engineer to join Adyen's Data Connect team in Chicago. Responsible for developing data pipelines, building data products, and spreading data analytics best practices. Full-time position with a hybrid work model.
Manage SAP SuccessFactors data migration and integration implementations using SAP Business Technology Platform. Provide specialized SAP SuccessFactors product and implementation solutions to clients for achieving defined business outcomes.
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