Data Platform Engineering II

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

Platform Engineer II – Data Platform Engineering

This is a hybrid role, 2 days on site in our Chicago office. We are looking for local candidates in the Chicago area only.

About the Team

The Data Platform team builds and maintains the organization’s enterprise knowledge catalog, knowledge graph, and unified data pipelines. We provide reusable data pipeline tooling for the enterprise and manage the entire BigQuery and analytics ecosystem. We focus on data accessibility, semantic connectivity, and automation to improve how data is discovered, processed, and utilized across the company.

The Role

You will build AI data agents that interact with our enterprise knowledge catalog, knowledge graph, and extensive analytics infrastructure. This role is responsible for automating complex data workflows, contributing to intelligent data pipeline tooling, and building scalable integrations that bridge our AI capabilities with our core data platforms.

What You’ll Get

• A supportive environment fostering career progression, continuous learning, and an inclusive culture.
• Broad exposure to CME's diverse products, asset classes, and cross‑functional teams.
• A competitive salary and comprehensive benefits package. Explore our full range of benefits.

What You’ll Do

• Agent Development: Design, build, and deploy AI data agents to query and navigate the enterprise knowledge graph, data catalogs, and analytics systems.
• Skill Creation: Develop modular Agent Skills to execute data retrieval, transformation, and analytical tasks.
• Agent Evaluation: Design and implement Agent Evals to test the reliability, accuracy, and factual consistency of agent outputs.
• Data Pipeline & Analytics Integration: Build intelligent integrations and reusable tooling that interface with our unified data pipelines and BigQuery ecosystems.
• Knowledge Integration: Collaborate with data engineers to ingest, curate, and expand the enterprise knowledge catalog and knowledge graph.
• Tool Utilization: Leverage Coding Agent tools (Claude, Anti Gravity, and GitHub Copilot) to accelerate technical delivery and code generation.

What You’ll Bring

• Academic Foundation: A Bachelor’s Degree (preferably in Computer Science, Information Systems, or a related discipline) accompanied by 2+ years of relevant hands‑on engineering experience.
• Programming Languages: Strong proficiency in Python and Java.
• AI Frameworks: Hands‑on experience building AI agents using Google ADK and LangChain.
• Agent Tooling: Direct experience developing Agent Skills and building Agent Evals.
• AI Assistants: Experience utilizing Coding Agent tools (Claude, Anti Gravity, GitHub Copilot) in the software development lifecycle.
• Execution: Ability to work proactively in a team environment and meet delivery timelines.

Preferred Qualifications

• Data Systems: Experience working with knowledge graphs, enterprise data catalogs, semantic data models, and data pipelines.
• Primary Cloud & Analytics: Hands‑on experience with Google Cloud Platform (GCP) and deep knowledge of BigQuery.
• GitOps & Orchestration: Experience with GitOps practices and deploying applications to Kubernetes.
• Foundational Models: Experience working with Gemini models, Anthropic models, or GPT models.
• Multi-Cloud: Experience with other major cloud providers (AWS or Azure).

Compensation & Benefits

The pay range for this role is $93,900-$156,500. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant). Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad‑based equity program. Through our benefits program, we strive to offer flexibility, value and choice. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents.

About CME Group

CME Group: Where Futures are Made

CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued.

As an equal‑opportunity employer, we consider all potential employees without regard to any protected characteristic.