AI Data Platform Engineer: Knowledge Graph & Pipelines

CME Chicago Mercantile Exchange Inc.; Chicago (IL); Hybrid; USD 94,000 - 157,000; Full time

Benefits offered by this job

Career progression

Cross-functional exposure

Benefits package

Job summary

CME Group seeks a Platform Engineer II for Data Platform Engineering to build AI data agents and scalable integrations within our analytics ecosystem. You will design skills, evals, and tooling that connect our enterprise knowledge graph to the BigQuery environment.

Ideal candidates have 2+ years of hands-on engineering, strong Python/Java, and experience with AI frameworks. This hybrid Chicago role offers career growth and comprehensive benefits.

Qualifications

• Bachelor's degree in CS or related field; 2+ years engineering experience.
• Strong Python and Java programming skills.
• Hands-on experience building AI agents and data tooling.
• Experience with AI assistants/tools in software lifecycle.

Responsibilities

• Design, build, and deploy AI data agents for enterprise graphs and catalogs.
• Develop modular Agent Skills for data retrieval and analytics tasks.
• Design Agent Evals to test reliability and factual accuracy of outputs.
• Build integrations with unified data pipelines and BigQuery ecosystems.
• Collaborate with data engineers to ingest and expand knowledge catalogs.

Skills

Python

Java

Team collaboration

Proactive execution

Education

Bachelor's Degree in CS or related

Tools

Google ADK

LangChain

GitHub Copilot

Claude

Job description

CME Group seeks a Platform Engineer II for Data Platform Engineering to build AI data agents and scalable integrations within our analytics ecosystem. You will design skills, evals, and tooling that connect our enterprise knowledge graph to the BigQuery environment.

Ideal candidates have 2+ years of hands-on engineering, strong Python/Java, and experience with AI frameworks. This hybrid Chicago role offers career growth and comprehensive benefits.