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We are seeking an experienced and passionate Senior Knowledge Graph Developer to design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical lead responsible for transforming complex, siloed data into an interconnected, semantic knowledge layer. You will bridge the gap between data engineering, ontology design, and AI/ML applications, ensuring our knowledge graphs are performant, governed, and instrumental in powering our next-generation AI and analytics solutions.
Architecture & Design: Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models.
Data Integration & Pipeline Development: Lead the development of robust ETL/ELT pipelines to ingest, transform, and map heterogeneous data sources (RDBMS, NoSQL, APIs, unstructured text) into the knowledge graph.
Query & API Optimization: Develop, optimize, and maintain complex graph queries (Cypher, SPARQL, Gremlin). Design stable, high-performance APIs to expose graph data for downstream AI services and applications.
AI/ML Integration: Collaborate with data science teams to integrate the knowledge graph with LLMs, RAG (Retrieval-Augmented Generation) pipelines, graph embeddings, and other agentic frameworks to enhance reasoning and explainability.
Governance & Performance: Establish best practices for graph data quality, lineage, access control, and metadata management. Monitor graph performance and optimize indexing and traversal strategies for production environments.
Technical Leadership: Act as a subject matter expert and mentor for junior engineers. Drive adoption of graph technologies through documentation, code reviews, and community-of-practice contributions.
Experience: 6–10+ years of software engineering or data architecture experience, with at least 4+ years dedicated to knowledge graph engineering, graph database development, or semantic web technologies.
Graph Technology Expertise: Proven hands-on experience with at least one major graph platform (e.g., Neo4j, AWS Neptune, Stardog, TigerGraph, GraphDB).
Semantic Modeling: Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles.
AI/ML Familiarity: Experience with or strong interest in graph-augmented AI, vector search, RAG, and large language model integration patterns.
The base pay range for this role is $112,480.00 to $146,540.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact
[email protected]