Top Data Engineer Jobs in Chicago, IL
Collaborate with Agile teams to design, develop, test, and implement technical solutions in full-stack development tools and technologies. Utilize programming languages like Java, Scala, Python, and work with data warehousing services. Share tech trends and mentor team members. Deliver robust cloud-based solutions for financial empowerment. Perform unit tests and code reviews.
Lead a team of developers in designing, developing, testing, and implementing technical solutions using full-stack development tools and technologies. Collaborate with Agile teams to deliver cloud-based data solutions.
Seeking a Senior Director, Data Engineering to drive a cohesive data strategy across multiple data environments, build teams to deliver highly performant and scalable data products, and drive data engineering best practices. Must attract top talent and possess technical expertise to build customer-oriented solutions utilizing automation, machine learning, and predictive analytics.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for advancing the core machine learning solution and infrastructure, building scalable models, and deploying them to production. You will work on recommender-system related challenges, collaborate with data engineers and platform engineers, and continuously improve the ML platform.
As a Senior Data Engineer, you will play an instrumental role in advancing our core machine learning solution. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high-quality, scalable data pipelines and products.
As a machine learning engineer, you will work on a large-scale machine learning system, contribute to recommender systems, and continuously improve solutions.
Oversee the end-to-end lifecycle of critical Database Server systems, including automation, implementation, configuration, maintenance, monitoring, upgrade, and performance optimization. Responsible for managing SQL Server systems, designing SQL Architecture for Cloud Service Offerings, ensuring high levels of performance, availability, sustainability, and security, and performing scheduled maintenance and upgrades.
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Responsible for strategic leadership and operational management of the Data and Analytic Foundations group. Design and enforce processes and protocols for efficient and scalable data governance and management. Provide technical expertise in data engineering solutions. Lead large and medium-scale data projects. Mentor and develop a high-performance team.
Lead, coach, and train team members on master data quality processes and tools. Improve and facilitate documentation and use of MDM data standards. Analyze and improve master data content and quality. Act as subject matter expert for customer and partner data. Manage and develop projects for master data quality improvement.
Responsible for providing technical leadership and executing end-to-end data engineering solutions to support new product development and advanced analytics capabilities. Collaborate with stakeholders, build data pipelines, partner with data scientists, and ensure sustainability of production applications and reports.
Lead the development and implementation of data warehouse solutions, including data modeling and ETL methodologies. Collaborate with cross-functional teams to ensure data availability and meet business requirements. Provide guidance and mentorship to junior team members. Work in a Chicago-based office with opportunity for relocation. Bachelor's degree in Computer Science or equivalent experience required. 7+ years of data warehouse experience.
Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits* and perks, including medical, den...
Design, develop, and maintain data architecture and pipelines. Develop and deliver scalable unit-tested data assets and products. Evaluate and improve existing data products. Collaborate with engineers and product managers. Participate in Agile process.
Join the Data Science and Analytics Engineering team to build ML/NLP models and contribute to the automation of data processing. Require expertise in Machine Learning, deep learning, NLP, feature engineering, and optimization. Must have experience deploying ML models to production using AWS, GCP, or Azure.
A senior data engineer role that involves designing, developing, and integrating data applications. Provides expertise in data modeling, ETL/ELT tools, and Agile methodologies. Works on building large-scale data processing systems and supports data pipelines and interfaces. Responsible for ensuring accuracy and ease of data consumption. Requires strong troubleshooting and problem-solving skills.
A senior data engineer role responsible for designing, developing, and integrating strategic data applications. This role involves building large-scale data processing systems and data lakes on the Google Cloud Platform. The engineer will work as part of a team, collaborating with external and offshore resources. Key responsibilities include data pipeline implementation, unit testing, and the design of physical data models. The engineer will also be involved in researching and implementing process improvements and applying machine learning techniques.
This role directs the development, implementation, testing and maintenance of models used for margin, clearing fund and stress testing.
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