Data Platform Engineer

We are seeking a highly skilled Data Platform Engineer to design, build, automate, and support enterprise-scale data platforms across hybrid cloud environments. This role will focus on platform engineering, infrastructure automation, observability, and the operational excellence of modern analytics ecosystems supporting large-scale data products., The ideal candidate will have deep experience managing distributed data platforms, cloud infrastructure, and big data technologies, while leveraging automation and engineering best practices to enhance reliability, scalability, and performance.

• 5+ years of professional experience with large-scale data platform, data product development, and platform operations
• 2+ years of experience developing and operating infrastructure, data platforms, and cloud services in hybrid environments (On-prem, AWS, or GCP)
• Hands-on experience with operations automation and observability on HDFS and Objectstores
• Experience with Jupyter Notebook environment automation and operations
• Proficient in one or more programming languages (Python, Java, or Scala) for automation, API integrations, and Spark job development
• Proficient with analytics stack including Apache Spark/Flink, Iceberg, Airflow, and Kubernetes

Nice to Have Skills & Experience

• Knowledge of CI/CD technologies including GitLab, Terraform, Docker/Kubernetes, and cloud monitoring tools (Splunk, Grafana, Datadog)
• Experience implementing security controls, governance processes, compliance validation, infrastructure cost analysis, and optimization

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.