Top Fintech Data Engineering Jobs in Chicago, IL

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

The Sr. Data Platform Support Engineer manages enterprise data platform applications, ensuring stability, performance, and integration, while driving automation and optimizing processes.

The AVP Product Engineer - AML is responsible for the development and enhancement of AML products, collaborating with compliance and risk teams, and utilizing machine learning for detection of suspicious activities.

The Quantitative Developer will enhance data analytics and portfolio management solutions, build ETL pipelines, and optimize processes using R and Python while working closely with teams in a hybrid work environment.

The Staff Data Engineer will build and optimize data pipelines, influence architectural decisions, and support data governance for claims data management. They will work with cloud platforms and big data technologies to ensure high-quality data products.

The Senior Data Scientist will lead the development of a personalization platform, design scoring frameworks, and manage data systems for processing large volumes of records. They will guide junior team members and shape the integration of ML and AI in the platform.

As a Quantitative Researcher, you will develop sports pricing capabilities by designing data pipelines, calibrating pricing models, and deploying models into trading strategies.

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

Support and administer Oracle databases, optimize data warehouse performance, and collaborate on data technology solutions within payment systems infrastructure.