{"schemaVersion":"jobsearcher.job.v1","id":"679eeb8690ec61495b066249","url":"https://jobsearcher.com/jobs/679eeb8690ec61495b066249","canonicalUrl":"https://jobsearcher.com/jobs/679eeb8690ec61495b066249","title":"Data Engineer","description":"Overview\nIn this role, you will design and build secure, scalable data processing systems and infrastructure to enable data-driven decisions. You will develop data models and pipelines for analysis and ML, and support cross-functional partners with data requirements and best practices. You will translate data into actionable insights through dashboards and reports while maintaining documentation and training for data users. This position sits within the Devices & Services team, contributing to Google's broader mission of accessible, useful information and advanced user experiences.\n\nCompensation / Benefitsbase salary: 220,050–226,000 USDbonus target: 15%equitybenefits determined by role, level, and location\nResponsibilitiesDesign and build secure, scalable data processing systems and infrastructureDevelop and maintain data models and pipelines for analysis and MLEnable data-driven decisions via data analysis, profiling, and ML deploymentCreate and consult on data visualizations and reports using BI toolsConsult with cross-functional partners to define data requirements, standards, and best practicesProvide ongoing user support through dashboards, documentation, and training\nKey requirementsData pipeline design and dimensional data modeling for synchronous and asynchronous system integrationCoding in Python, Java, Go, or C++ to build and maintain data infrastructureData pipeline implementation using external or internal data processing stacksData exploration via exploratory queries and scripts on data modelsData consumption and visualization using BI tools including Tableau, Power BI, or DataStudioCross-functional collaborationEffective communicationProblem solvingPythonJavaGo","company":"Google","rawCompany":"google","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:58:02.627Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Overview\nIn this role, you will design and build secure, scalable data processing systems and infrastructure to enable data-driven decisions. You will develop data models and pipelines for analysis and ML, and support cross-functional partners with data requirements and best practices. You will translate data into actionable insights through dashboards and reports while maintaining documentation and training for data users. This position sits within the Devices & Services team, contributing to Google's broader mission of accessible, useful information and advanced user experiences.\n\nCompensation / Benefitsbase salary: 220,050–226,000 USDbonus target: 15%equitybenefits determined by role, level, and location\nResponsibilitiesDesign and build secure, scalable data processing systems and infrastructureDevelop and maintain data models and pipelines for analysis and MLEnable data-driven decisions via data analysis, profiling, and ML deploymentCreate and consult on data visualizations and reports using BI toolsConsult with cross-functional partners to define data requirements, standards, and best practicesProvide ongoing user support through dashboards, documentation, and training\nKey requirementsData pipeline design and dimensional data modeling for synchronous and asynchronous system integrationCoding in Python, Java, Go, or C++ to build and maintain data infrastructureData pipeline implementation using external or internal data processing stacksData exploration via exploratory queries and scripts on data modelsData consumption and visualization using BI tools including Tableau, Power BI, or DataStudioCross-functional collaborationEffective communicationProblem solvingPythonJavaGo","datePosted":"2026-09-15T03:58:02.627Z","dateModified":"2026-09-15T03:58:02.627Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"679eeb8690ec61495b066249"},"url":"https://jobsearcher.com/jobs/679eeb8690ec61495b066249"}}