Junior Data Platform Engineer

About the Role: We're looking for a Junior Engineer to join our product engineering team. You'll work alongside senior engineers to build, automate & deploy Halcyon Labs Data Platform products. This is a hands-on role ideal for someone early in their career who wants to grow in data engineering, infrastructure, and DevOps. Key Responsibilities Assist in the deployment, configuration, and maintenance of Halcyon Labs Big Data platform Support the setup and management of clusters across on-premise and/or cloud environments Develop and maintain automation scripts to streamline deployment, provisioning, and routine operational tasks Build and improve CI/CD pipelines for platform components and data jobs Assist in troubleshooting issues, and help resolve incidents Document deployment procedures, configurations, and runbooks Collaborate with infrastructure engineers, deployment teams and operations teams to improve platform reliability and performance Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) Basic understanding of Big Data concepts and distributed systems Familiarity with at least one scripting language (Python, Bash, or similar) Foundational knowledge of Linux/Unix environments Knowledge of Kubernetes and container orchestration concepts Familiarity with AI coding tools (e.g., GitHub Copilot, Claude, Cursor) to support development and automation Strong problem-solving skills and willingness to learn Preferred Qualifications Exposure to version control (Git) Exposure to Big Data tools (Hadoop, Spark, Kafka, Hive, or similar) Familiarity with automation/configuration tools (Ansible, Terraform, Puppet, or Chef) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) Originally posted on Himalayas