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Capco

via Greenhouse

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Graph Engineer

Anywhere
full-time
Posted 10/20/2025
Direct Apply
Key Skills:
Graph Database Technologies
Semantic Data Modeling
Data Engineering
SPARQL
GraphQL
Cypher
Python
JavaScript
Data Integration
API Connections
Cloud Services
NLP
AI Retrieval
Knowledge-Augmented Generation
Analytical Mindset
Data Integrity
Performance Tuning

Compensation

Salary Range

$98K - 112K a year

Responsibilities

The Graph Engineer will design, build, and manage enterprise knowledge graphs for AI-driven analytics. This role involves hydrating, maintaining, and optimizing graph data to support natural language interactions and enterprise insights.

Requirements

Candidates should have a bachelor's degree in a related field and at least 2 years of experience in data engineering or graph development. Familiarity with graph databases and proficiency in query languages like SPARQL or Cypher are essential.

Full Description

About the team: Capco’s Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client’s business goals. As digital technologies advance and regulations tighten, today’s consumers – and, therefore, today’s businesses – are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting. About the Job: 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. What You’ll Get to Do: 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. What You’ll Bring with You: 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. Why Capco? A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering. Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset, and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business. We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW. We offer highly competitive benefits, including medical, dental and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees. Ready to take the Next Step? If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory. US Pay Range $98,000—$112,000 USD

This job posting was last updated on 10/21/2025

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