Top Senior Level Data Engineer Jobs in Chicago, IL
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.
Enforcing data policies, developing ETL/ELT jobs, identifying data issues, training analysts, maintaining databases, and collaborating with data teams.
As the Sr Manager Tech Lead Customer Data, responsible for delivering engineering outcomes by developing data-driven products that resonate with users and support the company's growth objectives. Lead multi-functional teams to perform solution requirements feasibility, build and deliver solutions, and drive a performant and maintainable architectural integration. Partner closely with product and data teams to leverage vendor capabilities across digital products and data platforms.
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Join our Cybersecurity, Privacy, and Forensics team at PwC to drive strategic programs, data analytics, innovation, deals, cyber resilience, and technical implementation activities. Focus on implementing effective data protection programs for clients, assessing data protection capabilities, and safeguarding critical assets.
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Lead the Data Quality Team, define and manage technical strategy, build and lead a team of data quality analysts, and ensure data accuracy and integrity. Collaborate with trading and technical teams to maintain data quality for trading decisions.
Seeking a Senior Data Engineer with 5+ years of experience in Data Engineering. Responsibilities include working with SQL, Python, building ETL/ELT pipelines on big data platforms, problem-solving for performance optimization, and collaborating across development activities. Must have a B.S. or equivalent in a technical field.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, standardizing business metrics, building data pipelines, promoting best practices, and creating dashboards to drive business decisions. This role requires 5+ years of industry experience in complex ETLs and proficiency in SQL, Python, and Java.
Seeking a Senior Manager, Data Engineering at Capital One to lead a team of developers in building technical solutions using full-stack development tools and technologies. The role involves working with big data technologies, cloud computing, and managing people. The ideal candidate should have a Bachelor's Degree and at least 8 years of application development experience.
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.
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