Top Data & Analytics Jobs in Chicago, IL

Lead design, build, test, and support cloud-based data platforms and streaming systems. Collaborate across agile teams to deliver scalable ETL, real-time processing, data warehousing, and mentor engineers while ensuring code quality and performance.

Lead Data Engineer responsible for designing, developing, testing, implementing, and supporting cloud-based data solutions. Collaborate across Agile teams to build distributed, real-time data and streaming systems, mentor engineers, perform unit tests and code reviews, and leverage big data, NoSQL, and cloud data warehousing technologies.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.

Lead and mentor engineering teams to design, build, test, and support cloud-based data solutions. Work with big data, streaming, and data warehousing technologies, collaborate with product managers, and ensure performant, well-tested code and architectures.

Lead and mentor a team of data engineers to design, develop, test, implement, and support cloud-based data platforms and full-stack solutions. Build distributed, real-time, and batch data systems using Java/Scala/Python, big data tools (Spark, Hadoop, Kafka), NoSQL and RDBMS, and data warehouses (Redshift, Snowflake). Collaborate with Agile teams, perform unit tests and code reviews, and drive technology experimentation and transformation.

Senior Data Risk Manager providing second-line oversight for enterprise data risk. Conduct risk and gap assessments, advise business and technology partners, embed data governance and quality controls, and influence product roadmaps to ensure regulatory compliance and strong data management practices.

Lead data governance for the Global Payment Network: implement and enforce policies, ensure data quality, master data management tooling, drive automation and process improvements, collaborate with executives, data stewards and tech teams, and synthesize risk reporting and insights for senior leadership.

Lead validation of enterprise analytical tools: refine validation framework, plan and execute projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff.

Lead design, build, test, and support large-scale data pipelines and cloud-based solutions. Collaborate with Agile teams, mentor engineers, optimize performance, and work with ML, streaming, and data warehouse technologies to drive customer acquisition and analytics at scale.

Lead a team delivering enterprise-wide model risk reporting and AI-driven automation. Build and deploy scalable ML/AI solutions, conversational reporting, multi-agent workflows, and centralized data integrations. Drive analytics strategy, validate models and data, improve reporting and operational efficiency, and collaborate across business units.