{"schemaVersion":"jobsearcher.job.v1","id":"0282ca09bfa3aad123188e69","url":"https://jobsearcher.com/jobs/0282ca09bfa3aad123188e69","canonicalUrl":"https://jobsearcher.com/jobs/0282ca09bfa3aad123188e69","title":"Sr. Data Engineer - AI","description":"Sr. Data Engineer - AI\r\nLocation: Seattle WA\r\nRole Summary We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering\r\nAI-ready data foundations\r\n—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.\r\nSr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms Key Responsibilities Architect and build\r\nscalable, cloud-native data platforms\r\nsupporting AI/ML and agent-based applications\r\nDesign pipelines to deliver\r\nAI-ready data\r\n(curated, labeled, contextualized, and feature-rich datasets)\r\nDevelop robust\r\ndata ingestion, transformation, and serving layers\r\n(batch + real-time)\r\nEnable\r\nsemantic data models, knowledge graphs, and vector databases\r\nto power AI agents and LLMs\r\nImplement\r\ndata quality, lineage, and governance frameworks\r\nto ensure trust and compliance\r\nCollaborate with AI/ML teams to support\r\nfeature engineering, model training, and inference pipelines\r\nOptimize data architectures for\r\nperformance, scalability, and cost efficiency\r\nMentor teams and establish\r\nbest practices for AI-driven data engineering\r\nRequired Skills & Experience 10+ years of experience in\r\ndata engineering and platform architecture\r\nStrong expertise in\r\ncloud platforms\r\n(Azure, AWS, or GCP) and modern data ecosystems\r\nFamiliarity with\r\nAI/ML data pipelines , feature stores, and model lifecycle support\r\nExperience with\r\nLLM data pipelines\r\nStrong understanding of\r\ndata governance, metadata management, and security frameworks\r\nPreferred Qualifications Experience building\r\ndata platforms for AI agents / agentic workflows\r\nKnowledge of\r\nRAG (Retrieval Augmented Generation)\r\narchitectures and semantic search\r\nExposure to\r\ndata mesh / domain-oriented data architectures\r\nExperience in\r\nlarge-scale enterprise transformation programs\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:49:45.317Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Data Engineer - AI","description":"Sr. Data Engineer - AI\r\nLocation: Seattle WA\r\nRole Summary We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering\r\nAI-ready data foundations\r\n—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.\r\nSr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms Key Responsibilities Architect and build\r\nscalable, cloud-native data platforms\r\nsupporting AI/ML and agent-based applications\r\nDesign pipelines to deliver\r\nAI-ready data\r\n(curated, labeled, contextualized, and feature-rich datasets)\r\nDevelop robust\r\ndata ingestion, transformation, and serving layers\r\n(batch + real-time)\r\nEnable\r\nsemantic data models, knowledge graphs, and vector databases\r\nto power AI agents and LLMs\r\nImplement\r\ndata quality, lineage, and governance frameworks\r\nto ensure trust and compliance\r\nCollaborate with AI/ML teams to support\r\nfeature engineering, model training, and inference pipelines\r\nOptimize data architectures for\r\nperformance, scalability, and cost efficiency\r\nMentor teams and establish\r\nbest practices for AI-driven data engineering\r\nRequired Skills & Experience 10+ years of experience in\r\ndata engineering and platform architecture\r\nStrong expertise in\r\ncloud platforms\r\n(Azure, AWS, or GCP) and modern data ecosystems\r\nFamiliarity with\r\nAI/ML data pipelines , feature stores, and model lifecycle support\r\nExperience with\r\nLLM data pipelines\r\nStrong understanding of\r\ndata governance, metadata management, and security frameworks\r\nPreferred Qualifications Experience building\r\ndata platforms for AI agents / agentic workflows\r\nKnowledge of\r\nRAG (Retrieval Augmented Generation)\r\narchitectures and semantic search\r\nExposure to\r\ndata mesh / domain-oriented data architectures\r\nExperience in\r\nlarge-scale enterprise transformation programs\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:49:45.317Z","dateModified":"2026-08-08T01:49:45.317Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0282ca09bfa3aad123188e69"},"url":"https://jobsearcher.com/jobs/0282ca09bfa3aad123188e69"}}