Staff Engineer Data Platform

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 (GCP). 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. 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 $132,100‑$220,100. 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. 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. #J-18808-Ljbffr Dormont Manufacturing Co