Top Financial Services Data Engineering Jobs in Chicago, IL

The Data Platform Operations Engineer ensures the reliability and performance of the Performance Team's data systems, managing data workflows, monitoring ETLs, resolving data issues, and optimizing performance.

The Lead Data Migration Specialist will enhance data processes for client onboarding using Excel, SQL, and AI, ensuring accuracy and efficiency.

As a Lead Data Engineer, you'll design, develop, and deploy data solutions using various programming languages and cloud technologies while collaborating with Agile teams, mentoring others, and conducting code reviews.

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

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

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 VP, Senior Data Platform Engineering Manager will oversee the data platform strategy and cloud migration, leading teams to ensure effective data and analytics delivery while managing resources and stakeholder relationships.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.