Senior Knowledge Graph Developer

United Airlines; Chicago, Northern (IL, KY); Hybrid; USD 112,000 - 147,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Parental leave

Employee assistance program

Commuter benefits

Paid holidays

Paid time off

401(k)

Flight privileges

Job summary

United Airlines seeks a Senior Knowledge Graph Developer to design, build, and scale enterprise knowledge graphs, bridging data engineering, ontology design, and AI/ML applications. You will lead efforts to transform siloed data into an interconnected semantic layer powering AI and analytics solutions.

Responsibilities include architecture, ontology engineering, data integration, query optimization, and governance.

Qualifications

• 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.
• Proven hands-on experience with at least one major graph platform (Neo4j, AWS Neptune, Stardog, TigerGraph, GraphDB).
• Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin).
• Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles.

Responsibilities

• Architecture & Design: Design and implement scalable, enterprise-grade knowledge graph schemas using property graph or RDF models.
• Ontology Engineering: Define and maintain formal ontologies, taxonomies, and semantic models across domains.
• Data Integration & Pipeline Development: Lead ETL/ELT pipelines to ingest and map heterogeneous data into the knowledge graph.
• Query & API Optimization: Develop complex graph queries and high-performance APIs for downstream AI services.
• AI/ML Integration: Collaborate with data science teams to integrate knowledge graphs with LLMs and RAG pipelines.
• Governance & Performance: Establish data quality, lineage, access control, and metadata management.

Skills

Knowledge graph engineering

Graph databases

Cypher/Gremlin/SPARQL

Python/Java

Ontology design

Cloud computing

Tools

Neo4j

AWS Neptune

TigerGraph

Job description

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what's next. Let's define tomorrow, together.

Description

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.

Key Responsibilities

• Architecture & Design: Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models.
• Ontology Engineering: Define and maintain formal ontologies, taxonomies, and semantic models that standardize business meaning and entity relationships across domains.
• 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.

Qualifications

Required Qualifications

• 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).
• Query Languages: Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin).
• Semantic Modeling: Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles.
• Programming: Advanced proficiency in Python or Java for data processing, graph ingestion, and API development.
• AI/ML Familiarity: Experience with or strong interest in graph-augmented AI, vector search, RAG, and large language model integration patterns.
• Cloud & Infrastructure: Experience deploying and managing graph solutions in cloud environments (AWS, GCP, or Azure) using containerized workflows (Docker/Kubernetes).

Preferred Qualifications

• Experience with ontology design tools like Protégé.
• Knowledge of semantic validation frameworks such as SHACL or ShEx.
• Experience working in a regulated industry with strict data governance, lineage, and PII requirements.
• Proven track record of moving graph-based projects from PoC to production-scale enterprise capabilities.

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 [e-mail]