Top Hybrid Data Engineer Jobs in Chicago, IL

The role involves collaborating with internal and client teams to develop technology solutions in Data Clean Rooms and Salesforce Data Cloud, applying SQL and ETL knowledge, and mentoring team members. It requires leading project modules, managing technical designs, and contributing to various project deliverables to ensure high-quality client experiences.

As an Associate Data Engineer, you will develop data models to support business needs, define business requirements with stakeholders, ensure data quality and governance, mentor teammates, and participate in support rotations.

As a Senior Associate in Data and Analytics, you'll assist organizations in enhancing their business results through data insights. You'll leverage various technologies to improve operational efficiency, implement data management solutions, and navigate complex business challenges. The role requires a blend of leadership skills, critical thinking, and technical knowledge in data analytics and modeling.

The Application Engineer in Splunk/Machine Learning is responsible for the design, implementation, and oversight of products, mentoring junior engineers, analyzing and deploying user stories, and ensuring high-quality software development while collaborating with cross-functional teams.

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 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 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.