{"schemaVersion":"jobsearcher.job.v1","id":"f4e94b3ee2d8472aa56bb193","url":"https://jobsearcher.com/jobs/f4e94b3ee2d8472aa56bb193","canonicalUrl":"https://jobsearcher.com/jobs/f4e94b3ee2d8472aa56bb193","title":"Knowledge Graph Engineer","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, e-IT Professionals Corp., is seeking the following. Apply via Dice today!Job Title: Knowledge Graph EngineerLocation: Frisco TX or Atlanta, GAMode: Contract Should work any of these companys :: Google Meta Amazon Apple Netflix Microsoft Nvidia Salesforce Oracle IBM Intel Cisco Adobe Palantir Snowflake Databricks Twitter / X LinkedIn Uber AirbnbMust: - Graph DB (Neptune OR Neo4j OR TigerGraph) - Gremlin OR CypherGood to have: - Neptune specific - Flink - EmbeddingsAbout The RoleWe are looking for an experienced Knowledge Graph Engineer to design, build, and scale a production-grade property graph platform that powers customer segmentation, device intelligence, and household-level insights. You will own the full lifecycle from schema design and bulk ingestion to real-time CDC pipelines and graph embedding working closely with the segment engine team to deliver high-performance traversal queries and ML-ready embeddings at scale.Key ResponsibilitiesSchema Design: Architect the property graph schema defining node types Customer, Device, Account, Plan, Offer and edge types HAS_DEVICE, ON_PLAN, SHARES_HOUSEHOLD, SIMILAR_TO ensuring optimal cardinality and partition key design for scale.Bulk Load Pipeline: Build and validate the initial bulk load job across the ingestion stack (e.g., Delta Lake S3 staging Neptune bulk loader or equivalent technology).Real-Time CDC Pipeline: Implement a change data capture pipeline (e.g., Cosmos DB Change Feed Kafka Flink Neptune writer) with an end-to-end lag target of","company":"Via Dice","rawCompany":"via dice","city":"Frisco","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-17T03:57:47.645Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Knowledge Graph Engineer","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, e-IT Professionals Corp., is seeking the following. Apply via Dice today!Job Title: Knowledge Graph EngineerLocation: Frisco TX or Atlanta, GAMode: Contract Should work any of these companys :: Google Meta Amazon Apple Netflix Microsoft Nvidia Salesforce Oracle IBM Intel Cisco Adobe Palantir Snowflake Databricks Twitter / X LinkedIn Uber AirbnbMust: - Graph DB (Neptune OR Neo4j OR TigerGraph) - Gremlin OR CypherGood to have: - Neptune specific - Flink - EmbeddingsAbout The RoleWe are looking for an experienced Knowledge Graph Engineer to design, build, and scale a production-grade property graph platform that powers customer segmentation, device intelligence, and household-level insights. You will own the full lifecycle from schema design and bulk ingestion to real-time CDC pipelines and graph embedding working closely with the segment engine team to deliver high-performance traversal queries and ML-ready embeddings at scale.Key ResponsibilitiesSchema Design: Architect the property graph schema defining node types Customer, Device, Account, Plan, Offer and edge types HAS_DEVICE, ON_PLAN, SHARES_HOUSEHOLD, SIMILAR_TO ensuring optimal cardinality and partition key design for scale.Bulk Load Pipeline: Build and validate the initial bulk load job across the ingestion stack (e.g., Delta Lake S3 staging Neptune bulk loader or equivalent technology).Real-Time CDC Pipeline: Implement a change data capture pipeline (e.g., Cosmos DB Change Feed Kafka Flink Neptune writer) with an end-to-end lag target of","datePosted":"2026-06-17T03:57:47.645Z","dateModified":"2026-06-17T03:57:47.645Z","hiringOrganization":{"@type":"Organization","name":"Via Dice","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Frisco","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f4e94b3ee2d8472aa56bb193"},"url":"https://jobsearcher.com/jobs/f4e94b3ee2d8472aa56bb193"}}