Graph Engineer - Remote

Overview

The Graph Engineer will design, build, and manage enterprise knowledge graphs that power next-generation agentic applications and AI-driven analytics.

In Short

• Design and implement knowledge graph structures to support GenAI and agentic application use cases.
• Hydrate and maintain graph data by ingesting structured and unstructured datasets from enterprise and demo sources.
• Collaborate with developers and data scientists to model entities, relationships, and ontologies supporting business logic.
• Develop and optimize SPARQL, GraphQL, or Cypher queries for analytics, application integration, and AI retrieval.
• Work closely with the Full Stack Agentic Development team to ensure smooth integration between front-end GenAI components and the underlying graph.
• Implement ETL and data transformation pipelines to support graph population and updates.
• Support analytic development by enabling graph queries, reasoning, and insight generation through semantic linking.
• Assist with performance tuning, data validation, and security compliance for graph-based systems.
• Maintain documentation for ontologies, data models, and graph schema evolution.
• Collaborative team player comfortable working in agile, client-focused consulting environments.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field, or equivalent experience.
• 2+ years of experience in data engineering, graph development, or semantic modeling.
• Familiarity with graph databases such as Stardog, AWS Neptune, Neo4j, or similar platforms.
• Experience with RDF, OWL, or Property Graph models.
• Proficiency in writing and optimizing SPARQL, Gremlin, or Cypher queries.
• Solid understanding of Python or JavaScript for data ingestion and automation scripting.
• Exposure to data integration, API connections, and cloud services (AWS, Azure, or GCP).
• Basic knowledge of NLP, AI retrieval, or knowledge-augmented generation (RAG) concepts is a plus.
• Strong analytical mindset and attention to data integrity and performance.
• Collaborative team player comfortable working in agile, client-focused consulting environments.

Benefits

• Highly competitive benefits, including medical, dental and vision insurance.
• 401(k) plan.
• Tuition reimbursement.
• Work culture focused on innovation and creation of lasting value for clients and employees.