{"schemaVersion":"jobsearcher.job.v1","id":"b9c78e3b6816130d1f6fe2dd","url":"https://jobsearcher.com/jobs/b9c78e3b6816130d1f6fe2dd","canonicalUrl":"https://jobsearcher.com/jobs/b9c78e3b6816130d1f6fe2dd","title":"Data Engineer, Knowledge Graph","description":"Overview\nIn this Data Engineer role within Point72’s Market Intelligence team, you design and implement a financial knowledge graph and related pipelines to connect companies, industries, and economic insights. You will standardize data models, drive knowledge extraction, and promote graph-based solutions across the organization. You’ll work with cross-disciplinary teams to enable smarter investment decisions and scalable, compliant research products. This is an opportunity to lead technical initiatives as the platform grows.\n\nCompensation / BenefitsFully-paid health care benefitsGenerous parental and family leave policiesVolunteer opportunitiesSupport for affinity groups (women, people of color, LGBT+)Mental and physical wellness programsTuition assistance\nResponsibilitiesDesign and implement a comprehensive financial knowledge graph architecture with advanced data modelsBuild robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and analyticsDefine and enforce best practices for knowledge graph development and maintenanceChampion adoption of graph-based solutions across Market Intelligence\nKey requirements3+ years of experience in knowledge graph engineering or related rolesProven experience leading technical teams and mentoring engineersStrong expertise in graph data modeling, ontology design, and semantic technologiesHands-on experience with at least one major graph database (e.g., Neo4j, TigerGraph, Amazon Neptune)Advanced programming skills in Python or another high-level languageExperience with data integration from diverse sources into unified knowledge graphsTrack record of successful change management for technical initiativesAbility to work with challenging stakeholdersExperience hiring and building specialized technical teamsCommitment to the highest ethical standardscollaboration and cross-functional communicationstakeholder managementmentoring and talent developmentgraph data modelingontology designsemantic technologies","company":"Point72","rawCompany":"point72","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:44:07.716Z","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":"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 Engineer, Knowledge Graph","description":"Overview\nIn this Data Engineer role within Point72’s Market Intelligence team, you design and implement a financial knowledge graph and related pipelines to connect companies, industries, and economic insights. You will standardize data models, drive knowledge extraction, and promote graph-based solutions across the organization. You’ll work with cross-disciplinary teams to enable smarter investment decisions and scalable, compliant research products. This is an opportunity to lead technical initiatives as the platform grows.\n\nCompensation / BenefitsFully-paid health care benefitsGenerous parental and family leave policiesVolunteer opportunitiesSupport for affinity groups (women, people of color, LGBT+)Mental and physical wellness programsTuition assistance\nResponsibilitiesDesign and implement a comprehensive financial knowledge graph architecture with advanced data modelsBuild robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and analyticsDefine and enforce best practices for knowledge graph development and maintenanceChampion adoption of graph-based solutions across Market Intelligence\nKey requirements3+ years of experience in knowledge graph engineering or related rolesProven experience leading technical teams and mentoring engineersStrong expertise in graph data modeling, ontology design, and semantic technologiesHands-on experience with at least one major graph database (e.g., Neo4j, TigerGraph, Amazon Neptune)Advanced programming skills in Python or another high-level languageExperience with data integration from diverse sources into unified knowledge graphsTrack record of successful change management for technical initiativesAbility to work with challenging stakeholdersExperience hiring and building specialized technical teamsCommitment to the highest ethical standardscollaboration and cross-functional communicationstakeholder managementmentoring and talent developmentgraph data modelingontology designsemantic technologies","datePosted":"2026-09-15T04:44:07.716Z","dateModified":"2026-09-15T04:44:07.716Z","hiringOrganization":{"@type":"Organization","name":"Point72","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b9c78e3b6816130d1f6fe2dd"},"url":"https://jobsearcher.com/jobs/b9c78e3b6816130d1f6fe2dd"}}