{"id":2623055,"url":"https://alion.io/job/metal-toad-data-infrastructure-engineer-talents-bench-4","title":"Data Infrastructure Engineer [Talents Bench]","company":{"id":7765,"name":"Metal Toad","domain":"metaltoad.com","url":"https://alion.io/company/metal-toad","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Druid","optional":false},{"name":"Git","optional":false},{"name":"Helm","optional":false},{"name":"Karpenter","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenAI","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-10-15T14:09:38Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T07:55:29Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Metal Toad\nMetal Toad is a strategic AI partner. We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities. We are an AWS, Anthropic, and OpenAI partner.\nOur team includes consultants, software engineers, devops engineers, UX designers, project managers, marketers, and supporting staff. It should go without saying, but everyoneworking at Metal Toad should be interested in the impact of AI, and believe in a human-first, AI-enabled future.\nTo apply for this position, please submit your resume in English as a PDF.\nJob Description\nWe are looking for a highly technical, hands-on Data Infrastructure Engineer to join our team. This is not a standard Data Engineering role; instead, you will focus on building robust, scalable Data Infrastructure platforms using Open Source software. Your primary mission is to deploy and manage high-performance data technologies-such as Apache Pinot, Apache Druid, and Trino-within a well-architected Amazon EKS environment.\nYou will work on pioneering, high-risk technical solutions, navigating complex customer environments to deliver cutting-edge infrastructure that pushes the boundaries of standard implementations.\nResponsibilities\nKey Responsibilities\nInfrastructure Implementation:Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS.\nHands-on Development:Maintain a 100% hands-on approach, utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code.\nProblem Solving:Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions.\nPioneering Work:Design and implement novel, high-risk solutions that have not been previously established.\nCollaboration:Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready.\nQUALIFICATIONS REQUIRED\nAgree with our Corporate Values Statement.\nBelieves in the company's mission: to help people.\nBelieves in the principles of open source.\nAdvanced to fluent English communication skills are essential for this role.\nKubernetes/EKS:Deep expertise in Kubernetes and Amazon EKS is a must-have.\nCore Infrastructure Tooling:Proficiency in Terraform, Helm, Docker,and Karpenter.\nData OSS Expertise:Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot.\nData Foundations:Strong familiarity with Data Lakes, Spark, and Hive architectures.\nVersatility:A demonstrated willingness to work with non-AWS and broad Open Source ecosystems.\nSoft Skills:High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting.\nNICE TO HAVE\nPrior hands-on experience working with Fruitstand.\nDemonstrated 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