Graph Engineer

Capco

112d • $98,000 - $112,000

About The Position

The Graph Engineer will design, build, and manage enterprise knowledge graphs that power next-generation agentic applications and AI-driven analytics. This role focuses on hydrating, maintaining, and optimizing graph data that supports natural language interactions, knowledge retrieval, and enterprise insights across multiple MVPs and business development use cases. The ideal candidate combines a foundation in semantic data modeling and graph database technologies with the curiosity to explore how Generative AI, NLP, and analytics can leverage connected data for real-time intelligence.

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.

Responsibilities

• 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.

Benefits

• Medical, dental and vision insurance
• 401(k) plan
• Tuition reimbursement
• Work culture focused on innovation and creation of lasting value for clients and employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees