{"id":1490184,"url":"https://alion.io/job/tiger-analytics-sr-aws-emr-admin","title":"Sr. AWS EMR Admin","company":{"id":3693,"name":"Tiger Analytics","domain":"tigeranalytics.com","url":"https://alion.io/company/tigeranalytics","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":70,"open_postings":141,"ghost_share":0.496,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":157000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CloudFormation","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon EKS","optional":true},{"name":"CI/CD","optional":true},{"name":"Hadoop","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-05T22:36:03Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":6},"description":"Role Overview\nWe are seeking an experienced Senior AWS EMR Administrator to manage, optimize, and scale our cloud data infrastructure. In this hands-on technical role, you will be responsible for designing, deploying, and maintaining persistent and transient AWS EMR clusters to support large-scale batch data processing pipelines. You will collaborate closely with data engineering teams and leverage Infrastructure as Code (IaC) to ensure reliable, secure, and automated operations across our AWS ecosystem.\nRequirements\nKey Responsibilities\nCluster Management: Architecture, deploy, and maintain persistent and transient AWS EMR clusters tailored to business workloads and operational needs.\nInfrastructure Automation: Design and implement deployment automation using AWS CloudFormation, AWS CodePipeline, or Terraform.\nStorage & Compute Optimization: Manage AWS EC2, S3, and related compute and storage resources to ensure high performance, security, and cost efficiency.\nData Pipeline Support: Monitor and support batch data processing workloads, troubleshooting performance bottlenecks and operational issues across the EMR environment.\nSystem Administration: Perform routine maintenance, patching, scaling, access controls, and security configurations across EMR and associated AWS services.\nRequired Qualifications\nExperience: 7-8+ years of hands-on experience in AWS Cloud Infrastructure and AWS EMR Administration.\nCore AWS Technical Stack: Strong proficiency with AWS EMR, EC2, S3, CloudFormation, and batch data environments.\n Infrastructure as Code (IaC) & CI/CD: Demonstrated experience deploying cloud resources using AWS CloudFormation, Terraform, and AWS CodePipeline (or equivalent CI/CD tools).\nEMR Architecture: Deep technical understanding of Amazon EMR architecture, cluster life cycles, and node configurations.\nPreferred Qualifications\nExperience with Hadoop ecosystem, HDFS, and Big Data technologies.\nExposure to AWS EKS (Elastic Kubernetes Service) and containerized workloads.\nHands-on experience with Kerberos authentication and enterprise security integration.\nBenefits\nSignificant career development opportunities exist as the company grows. 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