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Top Data Engineer Jobs in Chicago, IL
Seeking a detail-oriented Data Entry Specialist proficient in Excel and Google Sheets to handle large datasets with precision and dedication. Responsibilities include digitizing utility invoices, assisting with data validation, and managing RFPs. A Bachelor's degree is encouraged but not required. Prior experience in the energy space is a plus. Full-time, in-office position in a rapidly growing company focused on energy consultancy.
The Expert Data Engineer will lead the implementation of strategic data solutions at Discover, ensuring adherence to enterprise-level best practices and driving the technological direction for data integration and governance. They will research new technologies, manage risks, and influence technology decisions to enhance Discover's data capabilities and user experience within financial domains.
The Senior Manager will bridge business needs with data, analytics, and AI teams, co-managing product roadmaps, collaborating on deployment plans, monitoring performance metrics, and driving the adoption of data-driven culture within the organization. This role requires excellent communication skills to convey complex data concepts to stakeholders.
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The IT Data/Business Analysis Sr Specialist at CNA will analyze data, create reports, and lead project teams to address business needs. Responsibilities include formulating systems scope, managing project resources, and collaborating with stakeholders to define deliverables. A strong understanding of the insurance industry and data analytics is crucial.
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As a Consultant on the Data Integration team, you will implement StrataJazz® for large health systems, communicate integration specifications, solve complex problems using SQL and Excel, and lead client training. You'll also collaborate with technical teams and contribute to strategic growth projects in a hybrid work environment.
As a Database Administrator at NinjaTrader, you will manage and ensure the performance, integrity, and security of databases in both on-prem and cloud environments. Responsibilities include designing and maintaining scalable database systems, optimizing performance, implementing backup strategies, and collaborating with teams to integrate data systems.
The Senior Staff Data Engineer will design and develop scalable data pipelines, integrate complex data sets for analysis, and build data products on a cloud-native platform. Responsibilities include collaborating with teams to implement data models, ensuring data quality, mentoring, and advocating best practices in data engineering.
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 Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
The Data Engineer Team Lead oversees a team designing and implementing technical solutions for business needs. They integrate and optimize data, troubleshoot database discrepancies, and lead projects from conception to delivery, ensuring data reliability and performance. The role involves collaborating with various teams and advising on best practices while managing project timelines and expectations.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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