Data Reliability Engineer II

Chicago Mercantile Exchange•Chicago, IL

23h•Hybrid

About The Position

As a cornerstone of CME Group’s Cloud transformation, the Data Reliability Engineer (dRE) II is aligned directly to our data product pods. Your mission is to ensure that our data infrastructure remains reliable, scalable, and efficient as our GCP footprint expands at a rapid pace. You will be the architect of stability, bridging the gap between complex data science initiatives and robust cloud engineering. CME Group is the world’s leading derivatives marketplace. 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.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience.
Proven background as an SRE or similar role focused on data infrastructure management.
Deep understanding of Site Reliability Engineering (SRE) practices.
Experience with relational databases, data warehousing, big data (Hadoop), streaming (Kafka), and Cloud (AWS, GCP, Azure).
Python (NumPy, pandas, PySpark), Java (Core Spark, functional interfaces, collections), or Scala with a focus on automation.
Expertise in data governance, security, and compliance best practices.
Proficiency in Git, version control, and CI/CD pipelines.
Strong experience in data-intensive applications, specifically within Google Cloud Platform (GCP).
Experience in data QA/testing and tools like Cloud Logging, ELK, AppDynamics, New Relic, or Splunk.
Experience in data engineering or data science.

Nice To Haves

Experience with containerization and orchestration (Docker, Kubernetes).
Knowledge of AI/ML tools.
Google Associate Cloud Engineer or Data Engineer certifications.

Responsibilities

Automate GCP Operations: Drive efficiency by automating data tasks across the Google Cloud Platform.
Stakeholder Collaboration: Work closely with data domain owners, data scientists, and partners to ensure effective data consumption on GCP.
Infrastructure Architecture: Design, build, secure, and maintain pipelines, databases, warehouses, and processing platforms on GCP.
Quality Assurance: Measure and monitor the quality of data across all GCP data platforms.
Proactive Monitoring: Implement robust monitoring and alerting systems to identify and resolve issues before they escalate.
Incident Management: Respond promptly to incidents to minimize downtime and prevent data loss.
Scalable Tooling: Develop automation scripts and tools to streamline operations for growing data volumes and traffic.
System Optimization: Refine data systems to ensure efficient processing, reduced latency, and peak performance.
Capacity Planning: Collaborate with infrastructure teams to forecast data growth and plan for future requirements.
Security & Compliance: Ensure total data security and adherence to data protection regulations.
Access Control: Implement industry best practices for data access controls and encryption.
Cross-Functional Support: Partner with data and software engineers to troubleshoot issues and support data-driven initiatives.
Continuous Improvement: Assess and evolve infrastructure and processes to enhance reliability and performance.
Technical Documentation: Maintain precise and up-to-date documentation for systems, configurations, and SOPs.

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.
An annual target bonus opportunity for all employees.
The opportunity to become an owner in the company through our broad-based equity program.
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.
A holistic benefits package for our team and their dependents.