{"schemaVersion":"jobsearcher.job.v1","id":"544417758f6fa36081ff908d","url":"https://jobsearcher.com/jobs/544417758f6fa36081ff908d","canonicalUrl":"https://jobsearcher.com/jobs/544417758f6fa36081ff908d","title":"Data Science / Knowledge Graph Engineer","description":"Job Description\n\nJob Title: Data Science / Knowledge Graph Engineer\n\nLocation: Chicago, IL\n\nJob Summary\n\nWe are seeking a skilled Data Science / Knowledge Graph Engineer with hands-on experience in semantic modeling, knowledge graphs, graph databases, and data transformation. The ideal candidate will have experience working with platforms such as Stardog, Neo4j, GraphDB, or similar technologies, along with strong SQL and data analysis skills.\n\nThe role will focus on understanding domain data and business relationships, designing semantic models and ontologies, building and maintaining knowledge graphs, and developing graph-based data solutions. The resource will collaborate closely with data engineers, architects, domain teams, and AI engineers.\n\nKey Responsibilities\nUnderstand domain data and business relationships.\nDesign semantic models and ontologies.\nBuild and maintain knowledge graphs.\nCreate source-to-graph mappings and hydrate graphs with data.\nDevelop RDF, OWL, SHACL, and SPARQL queries.\nValidate data quality and troubleshoot graph-related issues.\nPerform data transformation and mapping activities required for graph solutions.\nWork with data engineers, architects, domain teams, and AI engineers to support knowledge graph initiatives.\nAnalyze data and ensure the quality and consistency of graph-related data.\nSupport the development and maintenance of semantic data models and knowledge graph solutions.\nRequired Experience\nHands-on experience with Stardog, Neo4j, GraphDB, or similar graph database/platform technologies.\nStrong knowledge of semantic modeling.\nStrong understanding of knowledge graphs.\nExperience with RDF.\nExperience with SPARQL.\nExperience with semantic models and ontologies.\nExperience with data transformation, mapping, and graph hydration.\nStrong SQL skills.\nStrong data analysis skills.\nExperience validating data quality and troubleshooting graph-related issues.\nPreferred Experience\nExperience with Azure Databricks or similar data platforms.\nExperience working with data engineering teams and enterprise data platforms.\nExperience collaborating with AI engineers and architecture teams.","company":"Veerteq Solutions","rawCompany":"veerteq solutions","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-08-31T10:59:45.388Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science / Knowledge Graph Engineer","description":"Job Description\n\nJob Title: Data Science / Knowledge Graph Engineer\n\nLocation: Chicago, IL\n\nJob Summary\n\nWe are seeking a skilled Data Science / Knowledge Graph Engineer with hands-on experience in semantic modeling, knowledge graphs, graph databases, and data transformation. The ideal candidate will have experience working with platforms such as Stardog, Neo4j, GraphDB, or similar technologies, along with strong SQL and data analysis skills.\n\nThe role will focus on understanding domain data and business relationships, designing semantic models and ontologies, building and maintaining knowledge graphs, and developing graph-based data solutions. The resource will collaborate closely with data engineers, architects, domain teams, and AI engineers.\n\nKey Responsibilities\nUnderstand domain data and business relationships.\nDesign semantic models and ontologies.\nBuild and maintain knowledge graphs.\nCreate source-to-graph mappings and hydrate graphs with data.\nDevelop RDF, OWL, SHACL, and SPARQL queries.\nValidate data quality and troubleshoot graph-related issues.\nPerform data transformation and mapping activities required for graph solutions.\nWork with data engineers, architects, domain teams, and AI engineers to support knowledge graph initiatives.\nAnalyze data and ensure the quality and consistency of graph-related data.\nSupport the development and maintenance of semantic data models and knowledge graph solutions.\nRequired Experience\nHands-on experience with Stardog, Neo4j, GraphDB, or similar graph database/platform technologies.\nStrong knowledge of semantic modeling.\nStrong understanding of knowledge graphs.\nExperience with RDF.\nExperience with SPARQL.\nExperience with semantic models and ontologies.\nExperience with data transformation, mapping, and graph hydration.\nStrong SQL skills.\nStrong data analysis skills.\nExperience validating data quality and troubleshooting graph-related issues.\nPreferred Experience\nExperience with Azure Databricks or similar data platforms.\nExperience working with data engineering teams and enterprise data platforms.\nExperience collaborating with AI engineers and architecture teams.","datePosted":"2026-08-31T10:59:45.388Z","dateModified":"2026-08-31T10:59:45.388Z","hiringOrganization":{"@type":"Organization","name":"Veerteq Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"544417758f6fa36081ff908d"},"url":"https://jobsearcher.com/jobs/544417758f6fa36081ff908d"}}