Top 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.

As a Data Engineer at EDGE, you will collaborate with data scientists and engineers to design and develop high-performance data analysis services. You will optimize workflows and shape data pipelines while working in a fast-paced startup environment, influencing the evolution of analytics capabilities and enabling real-time insights for customers.

As a Senior Associate, you will assist clients by aligning their data strategies to their business needs and migrate them to modern cloud environments. You will leverage technologies like AWS, Azure, and Snowflake, developing data governance strategies and advanced analytics solutions while ensuring successful project execution.

As a Data Engineer at iManage, you will implement and support the Enterprise Data Lake, craft solutions for data access, manage data pipelines, and collaborate with various business units. Key technologies include Python, PySpark, and Microsoft Azure, focusing on data transformation and integration while adhering to agile methodologies.

The Lead Data Engineer is responsible for optimizing data architecture and flow for cross-functional teams, driving data initiatives, and supporting data needs across projects. Duties include designing data transformations, validating QA test plans, conducting data analysis, overseeing data governance, and mentoring junior engineers while ensuring high-quality work in a collaborative environment.

The Associate Director, Fixed Income Data manages and develops fixed income data strategies, focusing on leveraged loans. Responsibilities include overseeing data quality, integrating new datasets, and ensuring accessibility for research and index creation. The role involves leading a small team, collaborating across teams, and driving continuous data quality improvements within a hybrid work environment.

The Director of Data is responsible for guiding the organization's data strategies, ensuring effective management and governance of data resources, and leading teams to establish data quality benchmarks. The role includes maintaining data governance frameworks, setting performance metrics, overseeing the data governance team, and ensuring compliance with data protection laws.