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# Data Platform Engineering II

- **Company:** CME Group
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $93,900.0 - $156,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Code Generation, Information Systems, Data Infrastructure, Data Retrieval, Data Systems, Graph Database, Data Intelligence, Python (Programming Language), Metadata Repositories, Software Deployment, Software Engineering, Google Cloud, GitHub Copilot, Multi-Cloud, Agentic-AI, Core Data, Kubernetes, Information Technology, Data Management, Claude, Google Gemini, GPT, Data Pipelines, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/75ab6d7c-1622-4957-835a-3aadf433ac66

## About the Role

* 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 (Google Cloud Platform) 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

## Description

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., 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., * 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.