Overview
On Site
USD 128,500.00 - 214,100.00 per year
Full Time
Skills
Real-time
Analytics
Machine Learning (ML)
DevSecOps
Streaming
Provisioning
Productivity
Data Engineering
Data Science
Mentorship
Durable Skills
Python
Java
Golang
Cloud Computing
Google Cloud Platform
Google Cloud
Data Processing
Apache Spark
Apache Flink
Docker
Kubernetes
Version Control
Git
Data Warehouse
Communication
Management
Orchestration
Continuous Delivery
Jenkins
GitLab
Continuous Integration
Workflow
Terraform
RP
Derivatives
Fraud
Recruiting
Job Details
The Data Platform Engineering team is a collection of highly skilled individuals dedicated to building and scaling the infrastructure that powers our organization's data-driven initiatives. We are building a cutting-edge platform on Google Cloud to handle petabyte-scale data processing, real-time analytics, and machine learning workloads. We champion a DevSecOps culture, and our core principles are centered around automation, quality, and Infrastructure as Code (IaC) to raise the bar on how we manage and deploy data infrastructure.
About the Role:
As a Data Platform Engineer, you will be responsible for building and maintaining the self-service platforms and frameworks used by our Data Scientists and Engineers. Your work will directly accelerate the development and deployment of batch and streaming data pipelines built with Spark and Flink, and enable seamless, governed access to data in BigQuery. You will be a key contributor to our automation strategy, utilizing tools like Terraform for infrastructure provisioning and Argo Workflows for orchestrating complex data jobs on Google Kubernetes Engine (GKE).If you are passionate about building robust infrastructure for large-scale data processing, cloud-native data architectures, and empowering data practitioners, this job is for you!
Principal Accountabilities:
Core Skills and Qualifications:
#LI-RP1
#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 $128,500-$214,100. 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 .
About the Role:
As a Data Platform Engineer, you will be responsible for building and maintaining the self-service platforms and frameworks used by our Data Scientists and Engineers. Your work will directly accelerate the development and deployment of batch and streaming data pipelines built with Spark and Flink, and enable seamless, governed access to data in BigQuery. You will be a key contributor to our automation strategy, utilizing tools like Terraform for infrastructure provisioning and Argo Workflows for orchestrating complex data jobs on Google Kubernetes Engine (GKE).If you are passionate about building robust infrastructure for large-scale data processing, cloud-native data architectures, and empowering data practitioners, this job is for you!
Principal Accountabilities:
- Design, build, and operate the core infrastructure for our data platform on Google Cloud.
- Develop self-service tools and automation to improve the productivity of Data Engineering and Data Science teams.
- Partner with application teams to ensure data services are well-architected, secure, and optimized for performance and cost.
- Serve as a Subject Matter Expert (SME) for core platform components, including our Kubernetes environment (GKE), data processing engines (Spark, Flink), and data warehousing (BigQuery).
- Mentor junior team members and lead technical initiatives to define the future of our data infrastructure toolset.
Core Skills and Qualifications:
- Strong proficiency in a high-level programming language such as Python, Java, or Golang.
- Deep experience with cloud platforms, specifically Google Cloud (Google Cloud Platform).
- Hands-on experience with large-scale data processing frameworks like Apache Spark or Apache Flink.
- Proven hands on experience with containerization (Docker) and orchestration, preferably Kubernetes.
- Excellent proficiency with version control systems, particularly Git.
- Strong understanding of Infrastructure as Code (IaC) and GitOps principles.
- Strong understanding of data warehousing solutions, with hands-on experience in Google BigQuery being a significant advantage.
- Experience working independently, as well as in a team environment, proactively driving initiatives and tasks to meet delivery timelines.
- Excellent oral and written communication skills.
- Experience building and managing complex data pipelines using orchestration tools like Argo Workflows or Airflow .
- Familiarity with building CI/CD pipelines (e.g., Jenkins, GitLab CI,Argo Workflows) for data applications.
- Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform is a plus
#LI-RP1
#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 $128,500-$214,100. 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.