{"schemaVersion":"jobsearcher.job.v1","id":"f9105e032175773c8bb2bdd5","url":"https://jobsearcher.com/jobs/f9105e032175773c8bb2bdd5","canonicalUrl":"https://jobsearcher.com/jobs/f9105e032175773c8bb2bdd5","title":"Snowflake Cortex Engineer","description":"Senior Data Engineer - RAG & Snowflake Cortex\nWork Model: Remote (United States)\nJob Type: Full-time\nCategory: Data Engineering / AI Systems\nJob Summary\nWe are seeking a highly technical, hands-on Senior Data Engineer to architect, build, and scale chat-with-data capabilities for an enterprise-grade, customer-facing platform. The ideal candidate has deep experience with production-ready Retrieval-Augmented Generation (RAG) systems, Snowflake Cortex, vectorization techniques, and reliability frameworks that ensure trustworthy, explainable AI responses across structured and unstructured data environments. This is a fully remote U.S.-based role.\nKey Responsibilities\n\nDevelop and scale RAG-based workflows powering chat-with-data and conversational analytics experiences.\n\nBuild and operationalize Snowflake Cortex Agents, Analysts, and Search solutions.\n\nDesign ingestion, preprocessing, embedding, and vector search pipelines supporting large-scale datasets.\n\nImplement guardrails, evaluation metrics, and automated testing frameworks for trustworthy AI.\n\nOptimize performance across embedding models, vector indexes, and LLM inference layers.\n\nEnsure secure handling, governance, and monitoring of structured and unstructured data assets.\n\nCollaborate with cross-functional engineering, ML, and product teams to deliver scalable AI-driven capabilities.\n\nDrive continuous improvement in retrieval quality, latency, observability, and failure handling.\n\nRequired Skills & Qualifications\n\nHands-on expertise with RAG architectures, embedding models, chunking, and retrieval optimization.\n\nStrong experience with Snowflake Cortex (Agents, Analysts, Search, vector functions).\n\nProficiency in Python and SQL with experience building scalable data pipelines.\n\nSolid knowledge of vector databases and indexing strategies.\n\nExperience with unstructured data processing and document intelligence workflows.\n\nFamiliarity with LLM orchestration tools (e.g., LangChain, LlamaIndex, Guardrails).\n\nExperience building testing, observability, reliability, and guardrail frameworks for AI systems.\n\nStrong system design, communication, and problem-solving skills.\n\nCompensation (U.S.)\nThe annual salary range for this position is $110,000 - $120,000 USD, depending on experience, technical depth, and geographic considerations. This position may also qualify for annual performance bonuses and discretionary incentive programs aligned with company policy.\nBenefits (U.S.)\n\nComprehensive medical, dental, and vision coverage\n\nHealth Savings Account (HSA) or Flexible Spending Account (FSA)\n\n401(k) retirement savings plan with company match\n\nPaid time off (PTO), paid holidays, and wellness days\n\nLife, AD&D, short-term and long-term disability insurance\n\nEmployee Assistance Program (EAP) with mental health support\n\nProfessional development, certification reimbursement, and learning resources\n\nRemote work flexibility with home office support\n\nCognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.","company":"Cognizant","rawCompany":"cognizant","city":"Sacramento","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T10:14:35.372Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Snowflake Cortex Engineer","description":"Senior Data Engineer - RAG & Snowflake Cortex\nWork Model: Remote (United States)\nJob Type: Full-time\nCategory: Data Engineering / AI Systems\nJob Summary\nWe are seeking a highly technical, hands-on Senior Data Engineer to architect, build, and scale chat-with-data capabilities for an enterprise-grade, customer-facing platform. The ideal candidate has deep experience with production-ready Retrieval-Augmented Generation (RAG) systems, Snowflake Cortex, vectorization techniques, and reliability frameworks that ensure trustworthy, explainable AI responses across structured and unstructured data environments. This is a fully remote U.S.-based role.\nKey Responsibilities\n\nDevelop and scale RAG-based workflows powering chat-with-data and conversational analytics experiences.\n\nBuild and operationalize Snowflake Cortex Agents, Analysts, and Search solutions.\n\nDesign ingestion, preprocessing, embedding, and vector search pipelines supporting large-scale datasets.\n\nImplement guardrails, evaluation metrics, and automated testing frameworks for trustworthy AI.\n\nOptimize performance across embedding models, vector indexes, and LLM inference layers.\n\nEnsure secure handling, governance, and monitoring of structured and unstructured data assets.\n\nCollaborate with cross-functional engineering, ML, and product teams to deliver scalable AI-driven capabilities.\n\nDrive continuous improvement in retrieval quality, latency, observability, and failure handling.\n\nRequired Skills & Qualifications\n\nHands-on expertise with RAG architectures, embedding models, chunking, and retrieval optimization.\n\nStrong experience with Snowflake Cortex (Agents, Analysts, Search, vector functions).\n\nProficiency in Python and SQL with experience building scalable data pipelines.\n\nSolid knowledge of vector databases and indexing strategies.\n\nExperience with unstructured data processing and document intelligence workflows.\n\nFamiliarity with LLM orchestration tools (e.g., LangChain, LlamaIndex, Guardrails).\n\nExperience building testing, observability, reliability, and guardrail frameworks for AI systems.\n\nStrong system design, communication, and problem-solving skills.\n\nCompensation (U.S.)\nThe annual salary range for this position is $110,000 - $120,000 USD, depending on experience, technical depth, and geographic considerations. This position may also qualify for annual performance bonuses and discretionary incentive programs aligned with company policy.\nBenefits (U.S.)\n\nComprehensive medical, dental, and vision coverage\n\nHealth Savings Account (HSA) or Flexible Spending Account (FSA)\n\n401(k) retirement savings plan with company match\n\nPaid time off (PTO), paid holidays, and wellness days\n\nLife, AD&D, short-term and long-term disability insurance\n\nEmployee Assistance Program (EAP) with mental health support\n\nProfessional development, certification reimbursement, and learning resources\n\nRemote work flexibility with home office support\n\nCognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.","datePosted":"2026-04-09T10:14:35.372Z","dateModified":"2026-04-09T10:14:35.372Z","hiringOrganization":{"@type":"Organization","name":"Cognizant","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sacramento","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f9105e032175773c8bb2bdd5"},"url":"https://jobsearcher.com/jobs/f9105e032175773c8bb2bdd5"}}