{"schemaVersion":"jobsearcher.job.v1","id":"e60b217c4f2deda8d00793a4","url":"https://jobsearcher.com/jobs/e60b217c4f2deda8d00793a4","canonicalUrl":"https://jobsearcher.com/jobs/e60b217c4f2deda8d00793a4","title":"Data Engineer, Anti Scraping, Third Party Data Operations","description":"MINIMUM QUALIFICATIONS: Bachelor's degree or equivalent practical experience.\r\n5 years of experience designing, building, and managing production-grade ETL pipelines.\r\nExperience writing readable, structured code (e.g., Python, Java) and applying AI/ML libraries/frameworks (e.g., TensorFlow, Vertex AI) within data systems.\r\nExperience applying AI/ML techniques to anti-abuse, security, or fraud detection.\r\nPREFERRED QUALIFICATIONS: Experience with AI to drive automation for data pipelines and data quality.\r\nExperience with data logging, monitoring, and analysis tools.\r\nFamiliarity with distributed systems.\r\nUnderstanding of bot detection techniques and adversarial machine learning.\r\nAbility to manage project timelines and deliverables effectively.\r\nExcellent stakeholder engagement skills, with experience working with both internal teams and external vendors.\r\nABOUT THE JOB: In this role, you will support the GASP team which builds technology to protect Geo assets at scale. As a Data Engineer, you will build and manage data pipelines to ensure data sources can be consumed by the Geo Anti-Scraping Program (GASP) for abuse and scraping detection, monitoring and measurement.\r\nThe Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.\r\nThe Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.\r\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\r\nUS: $156000 - $227000 (USD) + 15% bonus target + equity + benefits\r\nLearn more about benefits at Google\r\n[https://www.google.com/about/careers/applications/benefits/].\r\nRESPONSIBILITIES: Architect, build, and maintain data pipelines to ingest, process, and transform logs and signals from various Geo services for scraping detection and analysis.\r\nImplement and manage data quality frameworks, leveraging AI and automation to enhance data ingestion, ensure data integrity, and improve the accuracy of anti-scraping models and analytics.\r\nDevelop and maintain curated datasets, reports, queries, and dashboards to support client users in understanding and mitigating scraping threats.\r\nDrive the creation of automated solutions and self-service tools to accelerate data-driven decision-making and improve the efficiency of anti-scraping operations and partner care experiences.\r\nProvide operational support for anti-scraping data systems, including performance monitoring, post-launch issue resolution, proactive planning for dependency changes and system migrations, while defining and driving the long-term technical goal and roadmap for a scalable, resilient, and cost-effective anti-scraping data infrastructure for Google Maps.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:49:43.007Z","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":"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Anti Scraping, Third Party Data Operations","description":"MINIMUM QUALIFICATIONS: Bachelor's degree or equivalent practical experience.\r\n5 years of experience designing, building, and managing production-grade ETL pipelines.\r\nExperience writing readable, structured code (e.g., Python, Java) and applying AI/ML libraries/frameworks (e.g., TensorFlow, Vertex AI) within data systems.\r\nExperience applying AI/ML techniques to anti-abuse, security, or fraud detection.\r\nPREFERRED QUALIFICATIONS: Experience with AI to drive automation for data pipelines and data quality.\r\nExperience with data logging, monitoring, and analysis tools.\r\nFamiliarity with distributed systems.\r\nUnderstanding of bot detection techniques and adversarial machine learning.\r\nAbility to manage project timelines and deliverables effectively.\r\nExcellent stakeholder engagement skills, with experience working with both internal teams and external vendors.\r\nABOUT THE JOB: In this role, you will support the GASP team which builds technology to protect Geo assets at scale. As a Data Engineer, you will build and manage data pipelines to ensure data sources can be consumed by the Geo Anti-Scraping Program (GASP) for abuse and scraping detection, monitoring and measurement.\r\nThe Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.\r\nThe Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.\r\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\r\nUS: $156000 - $227000 (USD) + 15% bonus target + equity + benefits\r\nLearn more about benefits at Google\r\n[https://www.google.com/about/careers/applications/benefits/].\r\nRESPONSIBILITIES: Architect, build, and maintain data pipelines to ingest, process, and transform logs and signals from various Geo services for scraping detection and analysis.\r\nImplement and manage data quality frameworks, leveraging AI and automation to enhance data ingestion, ensure data integrity, and improve the accuracy of anti-scraping models and analytics.\r\nDevelop and maintain curated datasets, reports, queries, and dashboards to support client users in understanding and mitigating scraping threats.\r\nDrive the creation of automated solutions and self-service tools to accelerate data-driven decision-making and improve the efficiency of anti-scraping operations and partner care experiences.\r\nProvide operational support for anti-scraping data systems, including performance monitoring, post-launch issue resolution, proactive planning for dependency changes and system migrations, while defining and driving the long-term technical goal and roadmap for a scalable, resilient, and cost-effective anti-scraping data infrastructure for Google Maps.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:49:43.007Z","dateModified":"2026-08-08T01:49:43.007Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e60b217c4f2deda8d00793a4"},"url":"https://jobsearcher.com/jobs/e60b217c4f2deda8d00793a4"}}