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Top Hybrid Data Engineer Jobs in Chicago, IL
The Machine Learning Engineer will develop and optimize large-scale ML models and pipelines, focusing on real-time inference in high-performance settings. Responsibilities include building distributed training systems, collaborating with researchers and HPC specialists, and improving machine learning frameworks. This role directly influences trading strategies.
This role involves designing, developing, and integrating advanced data applications, optimizing for efficiency on Google Cloud. Responsibilities include building data pipelines, conducting unit testing, ensuring quality standards, and applying machine learning as necessary, along with leading process improvements and leveraging cloud services.
The Senior Staff Data Engineer will design and build data pipelines and products within the Customer Information Management team, integrating complex data sets for analytics, mentoring junior engineers, and collaborating across teams to implement data engineering best practices.
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The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
The Senior Machine Learning Engineer at Capital One will design and implement machine learning models and systems, collaborate with cross-functional teams, optimize ML applications, and ensure high performance and availability of deployment. Responsibilities include data pipeline construction, ML model monitoring, and leveraging cloud technologies.
As a Business Technology Solutions Associate, you'll collaborate with internal and client teams to design and implement high-quality data governance solutions and support technology transformations. You'll translate business challenges into technical requirements, manage deliverables, and communicate results effectively, fostering operational improvements across diverse projects and teams.
As a Senior Associate Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and manage data integration and transformation. You'll collaborate with stakeholders to translate data requirements into technical solutions while ensuring compliance with governance and security policies. This role involves leading cloud-based data solutions and optimizing data architectures for performance and cost management.
The Senior Data Engineer/Manager leads the development of data strategies, collaborates with multiple stakeholders to enhance data models, and implements data ingestion pipelines for real-time analytics. They are responsible for ensuring data quality and reconciliation while building scalable data solutions utilizing various cloud and data technologies.
The Director of Cyber Strategy and Analytics will lead the development of McDonald's cybersecurity strategy, emphasizing data collection, analysis, and reporting to enhance decision-making and security initiative prioritization. This role involves collaboration with global teams to establish key metrics and implement strategic improvements to ensure the effectiveness of cybersecurity measures while managing a team and overseeing financials.
The Data Architect will design and implement data services for internal and external clients, collaborate with stakeholders to develop tech strategies and roadmaps, and ensure adherence to enterprise architecture standards. This role requires leadership in researching and proposing technological solutions in a hybrid cloud environment.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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