{"schemaVersion":"jobsearcher.job.v1","id":"e72b04a26f1e5cc1b50c1f6e","url":"https://jobsearcher.com/jobs/e72b04a26f1e5cc1b50c1f6e","canonicalUrl":"https://jobsearcher.com/jobs/e72b04a26f1e5cc1b50c1f6e","title":"Data and Knowledge Engineer","description":"Data & Knowledge Engineer\n\nCompany Overview\nA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications.\n\nRole Summary\nThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management.\n\nKey Responsibilities\nDesign and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.\nBuild and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.\nDevelop integrations with APIs, databases, file systems, enterprise applications, and external data sources.\nDesign schema mapping, normalization, and transformation processes that support diverse customer data models.\nImplement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.\nPreserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.\nCreate data validation, monitoring, replay, and exception-handling processes for complex data environments.\nDevelop workflows for managing ambiguous records, conflicting information, and data quality issues.\nDefine and measure data quality metrics, onboarding effectiveness, and operational performance indicators.\nSupport knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.\nPartner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.\nContribute to platform architecture, engineering standards, and long-term data strategy initiatives.\nAdditional Details\nFully onsite 5 days a week\nFull-time exempt position\nHands-on engineering role with substantial ownership and technical influence\nOpportunity to work on large-scale data, knowledge graph, and AI-driven initiatives\nStaff-level candidates may provide architectural leadership, mentorship, and engineering guidance\nCandidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, Information Systems, or a related field, or equivalent practical experience.\n7+ years of experience building and operating production data platforms supporting structured and unstructured data workloads.\nStrong Python and SQL expertise with modern software development best practices.\nExperience with data ingestion, data integration, entity resolution, record linkage, master data management, or related disciplines.\nHands-on experience building batch and streaming data pipelines using modern data processing technologies.\nExperience with workflow orchestration, job scheduling, and reliable reprocessing of large-scale data workloads.\nKnowledge of knowledge graphs, vector databases, relational databases, and modern analytical data platforms.\nExperience applying AI or large language models to document processing, data extraction, schema mapping, or data quality workflows.\nStrong understanding of data governance, lineage, provenance, quality controls, and operational monitoring.\nAbility to work with complex, messy, evolving, and ambiguous datasets while maintaining high data quality standards.\nExcellent written and verbal communication skills.\nPreferred Qualifications (Nice-to-Haves)\nExperience with OCR, document understanding, table extraction, multimodal processing, or intelligent document automation.\nExperience working with geospatial data, spatial analytics, mapping technologies, or sensor-based datasets.\nKnowledge of ontology development, graph data modeling, knowledge representation, or semantic technologies.\nExperience with active learning, human-in-the-loop review processes, confidence scoring, or data quality automation.\nFamiliarity with data lineage, privacy-focused architectures, data contracts, and governance frameworks.\nExperience supporting secure, air-gapped, edge, or highly regulated environments.\nExperience working directly with enterprise, government, or large-scale organizational data onboarding initiatives.\nBackground in defense, intelligence, logistics, public sector, public safety, or other complex data-intensive industries.\nExperience mentoring engineers and establishing data engineering standards and best practices.\nCompensation & Benefits\n$200K-$300K + discretionary bonus\nPerformance-based bonus opportunities\nComprehensive medical, dental, and vision coverage\nRetirement savings program\nGenerous paid time off and company holidays\nProfessional development and continuing education opportunities\nOpportunity to work with cutting-edge AI, analytics, and data platform technologies\n\nTechnology Doesn't Change the World, People Do. ®\n\nRobert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.\n\nRobert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.\n\nAll applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.\n\n© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use and Privacy Notice .","company":"Robert Half","rawCompany":"robert half","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T03:40:50.434Z","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":"15-2051.00","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":"Data and Knowledge Engineer","description":"Data & Knowledge Engineer\n\nCompany Overview\nA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications.\n\nRole Summary\nThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management.\n\nKey Responsibilities\nDesign and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.\nBuild and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.\nDevelop integrations with APIs, databases, file systems, enterprise applications, and external data sources.\nDesign schema mapping, normalization, and transformation processes that support diverse customer data models.\nImplement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.\nPreserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.\nCreate data validation, monitoring, replay, and exception-handling processes for complex data environments.\nDevelop workflows for managing ambiguous records, conflicting information, and data quality issues.\nDefine and measure data quality metrics, onboarding effectiveness, and operational performance indicators.\nSupport knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.\nPartner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.\nContribute to platform architecture, engineering standards, and long-term data strategy initiatives.\nAdditional Details\nFully onsite 5 days a week\nFull-time exempt position\nHands-on engineering role with substantial ownership and technical influence\nOpportunity to work on large-scale data, knowledge graph, and AI-driven initiatives\nStaff-level candidates may provide architectural leadership, mentorship, and engineering guidance\nCandidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, Information Systems, or a related field, or equivalent practical experience.\n7+ years of experience building and operating production data platforms supporting structured and unstructured data workloads.\nStrong Python and SQL expertise with modern software development best practices.\nExperience with data ingestion, data integration, entity resolution, record linkage, master data management, or related disciplines.\nHands-on experience building batch and streaming data pipelines using modern data processing technologies.\nExperience with workflow orchestration, job scheduling, and reliable reprocessing of large-scale data workloads.\nKnowledge of knowledge graphs, vector databases, relational databases, and modern analytical data platforms.\nExperience applying AI or large language models to document processing, data extraction, schema mapping, or data quality workflows.\nStrong understanding of data governance, lineage, provenance, quality controls, and operational monitoring.\nAbility to work with complex, messy, evolving, and ambiguous datasets while maintaining high data quality standards.\nExcellent written and verbal communication skills.\nPreferred Qualifications (Nice-to-Haves)\nExperience with OCR, document understanding, table extraction, multimodal processing, or intelligent document automation.\nExperience working with geospatial data, spatial analytics, mapping technologies, or sensor-based datasets.\nKnowledge of ontology development, graph data modeling, knowledge representation, or semantic technologies.\nExperience with active learning, human-in-the-loop review processes, confidence scoring, or data quality automation.\nFamiliarity with data lineage, privacy-focused architectures, data contracts, and governance frameworks.\nExperience supporting secure, air-gapped, edge, or highly regulated environments.\nExperience working directly with enterprise, government, or large-scale organizational data onboarding initiatives.\nBackground in defense, intelligence, logistics, public sector, public safety, or other complex data-intensive industries.\nExperience mentoring engineers and establishing data engineering standards and best practices.\nCompensation & Benefits\n$200K-$300K + discretionary bonus\nPerformance-based bonus opportunities\nComprehensive medical, dental, and vision coverage\nRetirement savings program\nGenerous paid time off and company holidays\nProfessional development and continuing education opportunities\nOpportunity to work with cutting-edge AI, analytics, and data platform technologies\n\nTechnology Doesn't Change the World, People Do. ®\n\nRobert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.\n\nRobert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.\n\nAll applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.\n\n© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use and Privacy Notice .","datePosted":"2026-08-22T03:40:50.434Z","dateModified":"2026-08-22T03:40:50.434Z","hiringOrganization":{"@type":"Organization","name":"Robert Half","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e72b04a26f1e5cc1b50c1f6e"},"url":"https://jobsearcher.com/jobs/e72b04a26f1e5cc1b50c1f6e"}}