Data Platform Engineering II
About The Position
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.
Requirements
- 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.
- Direct experience developing Agent Skills and building Agent Evals.
- Experience utilizing Coding Agent tools (Claude, Anti Gravity, GitHub Copilot) in the software development lifecycle.
- Ability to work proactively in a team environment and meet delivery timelines.
Nice To Haves
- Experience working with knowledge graphs, enterprise data catalogs, semantic data models, and data pipelines.
- Hands-on experience with Google Cloud Platform (GCP) and deep knowledge of BigQuery.
- Experience with GitOps practices and deploying applications to Kubernetes.
- Experience working with Gemini models, Anthropic models, or GPT models.
- Experience with other major cloud providers (AWS or Azure).
Responsibilities
- Design, build, and deploy AI data agents to query and navigate the enterprise knowledge graph, data catalogs, and analytics systems.
- Develop modular Agent Skills to execute data retrieval, transformation, and analytical tasks.
- Design and implement Agent Evals to test the reliability, accuracy, and factual consistency of agent outputs.
- Build intelligent integrations and reusable tooling that interface with our unified data pipelines and BigQuery ecosystems.
- Collaborate with data engineers to ingest, curate, and expand the enterprise knowledge catalog and knowledge graph.
- Leverage Coding Agent tools (Claude, Anti Gravity, and GitHub Copilot) to accelerate technical delivery and code generation.
Benefits
- 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.
- Comprehensive health coverage
- A retirement package that includes both a 401(k) and an active pension plan
- Highly competitive education reimbursement provisions
- Paid time off
- A mental health benefit
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
