Top Financial Services Data Engineering Jobs in Chicago, IL

Lead Data Engineers at Capital One will design, develop, and implement data solutions, collaborating with Agile teams and utilizing various technologies to drive data transformation and deliver impactful cloud-based solutions.

Lead Data Engineers at Capital One design, develop and support technical solutions using big data technologies and cloud computing, collaborating with Agile teams to enhance data processing and analysis capabilities.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

The Senior Snowflake Data Engineer designs and optimizes Snowflake architecture and pipelines, ensuring data governance and performance across Marketing and Sales teams.

Summer internship on the Data & Analytics Platform team building automation, model prototypes, and platform features. Work with engineers to write, test, and deploy code, partner with internal customers to prototype ML and generative workflows, and participate in design discussions and code reviews in an agile environment.

Design, build, and maintain scalable data pipelines integrating diverse sources into analytics platforms. Own projects, standardize pipeline tooling, implement automated data tests, ensure security/PII handling, support on-call troubleshooting, and mentor team members to enable reliable, production-grade data delivery.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

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

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

As a Senior Data Engineer, you will build and maintain data pipelines, work with raw data, debug issues, and ensure data quality in a fintech environment.