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 of 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).
#LI-DS2
#LI-Hybrid
CME Group is committed to offering a competitive total rewards package for our employees that recognizes their contributions to the business and reflects our long-term investment in their future. 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.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.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
Skills Required
- Bachelor’s degree, preferably in Computer Science, Information Systems, or a related discipline
- 2+ years of relevant hands-on engineering experience
- Strong proficiency in Python and Java
- Hands-on experience building AI agents using Google ADK and LangChain
- Experience developing Agent Skills and building Agent Evals
- Experience using Claude, Anti Gravity, and GitHub Copilot in the software development lifecycle
- Ability to work proactively in a team environment and meet delivery timelines
- Experience with knowledge graphs, enterprise data catalogs, semantic data models, and data pipelines
- Hands-on experience with Google Cloud Platform and deep knowledge of BigQuery
- Experience with GitOps practices and deploying applications to Kubernetes
- Experience with Gemini, Anthropic, or GPT models
- Experience with AWS or Azure
CME Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CME Group and has not been reviewed or approved by CME Group.
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Retirement Support — U.S. offerings include both a 401(k) and a company-funded cash-balance pension, strengthening long-term financial security. This dual-track structure is highlighted as a notable differentiator among private employers.
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Leave & Time Off Breadth — PTO and holiday schedules are described as generous, with ample time off and carryover commonly highlighted. This breadth of leave meaningfully enhances perceived total rewards.
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Flexible Benefits — A flexible, hybrid work model applies to many roles, increasing day-to-day usability of the package. Flexibility is framed as a standard feature rather than an exception.
CME Group Insights
What We Do
As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. CME Group also operates CME Clearing, one of the world’s leading central counterparty clearing provider in the world, which offers clearing and settlement services for exchange-traded contracts, as well as for over-the-counter derivatives transactions through CME ClearPort®. These products and services ensure that businesses everywhere can substantially mitigate counterparty credit risk in both listed and over-the-counter derivatives markets.
