{"schemaVersion":"jobsearcher.job.v1","id":"07ec67a9ce8c4afd83c38ed8","url":"https://jobsearcher.com/jobs/07ec67a9ce8c4afd83c38ed8","canonicalUrl":"https://jobsearcher.com/jobs/07ec67a9ce8c4afd83c38ed8","title":"Senior Data Platform Engineer - Cloud & Big Data","description":"Apple in Phoenix, USA seeks a Senior Data Platform Engineer to design and implement large-scale data pipelines in the cloud. You will help manage storage, processing, and analytics across the Assessments pipeline and related systems at scale. You will work with a team of data engineers and researchers to optimize performance, ensure data quality, and deliver reliable data solutions using Spark, Hadoop, and modern lakehouse technologies on AWS or GCP. #J-18808-Ljbffr","company":"Apple","rawCompany":"apple","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-07-28T04:18:30.477Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer - Cloud & Big Data","description":"Apple in Phoenix, USA seeks a Senior Data Platform Engineer to design and implement large-scale data pipelines in the cloud. You will help manage storage, processing, and analytics across the Assessments pipeline and related systems at scale. You will work with a team of data engineers and researchers to optimize performance, ensure data quality, and deliver reliable data solutions using Spark, Hadoop, and modern lakehouse technologies on AWS or GCP. #J-18808-Ljbffr","datePosted":"2026-07-28T04:18:30.477Z","dateModified":"2026-07-28T04:18:30.477Z","hiringOrganization":{"@type":"Organization","name":"Apple","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07ec67a9ce8c4afd83c38ed8"},"url":"https://jobsearcher.com/jobs/07ec67a9ce8c4afd83c38ed8"}}