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$112k–$147k/yr
Full-time
Medical, Dental, Vision, Life insurance, Accident and disability insurance, Parental leave
Posted 11d ago
~40 hrs/week
Responsibilities
The Senior Knowledge Graph Developer will design and scale enterprise knowledge graph initiatives by transforming complex data into an interconnected semantic layer. They will lead the development of ETL pipelines, optimize graph queries, and collaborate with data science teams to integrate graph technology with AI and LLM frameworks.
Requirements
Candidates must have 6-10+ years of software engineering or data architecture experience, with at least 4 years specifically in knowledge graph engineering. Proficiency in graph databases, semantic modeling (RDF/OWL), and programming languages like Python or Java is required.
Full 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 [email protected]
This is the story of airline that leads the industry from ground to clouds. Our global cast of over 100,000+ hero characters are each on a journey to be a force for good for our customers, the planet and each other. Come be part of this story.
Offices: 233 South Wacker Drive, Chicago, IL 60606, US
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Based on 2694 listings with disclosed salaries, most technology jobs in Chicago, IL pay between $81k–$201k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Chicago, IL right now?
There are currently 3,348 open technology positions in Chicago, IL listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Chicago, IL?
Companies currently hiring include Huron, Northern Trust Asset Management, JPMorganChase, Publicis Groupe Holdings B.V., Google, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Chicago, IL?
Yes — 1960 of the 3348 open technology positions offer remote or hybrid work (557 remote, 1403 hybrid).
How do I apply for Technology jobs in Chicago, IL?
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