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Urgently Hiring Knowledge Graph Software Engineer Jobs in Bolingbrook, IL

Vizient

Senior Ontology and Knowledge Engineer

Chicago, IL · On-site

$102K - $179K/yr

Support knowledge graph development and integration with enterprise data platforms, including ... Experience applying software engineering practices to semantic assets, including Git-based version ...

EROS Technologies Inc

Software Engineer

Chicago, IL · On-site

Position- Software Engineer Location- Chicago, IL Duration- Long-term Salary- $Negotiable/Annum 1. ... knowledge of any No SQL technologies such as Mongo DB, Cassandra, etc. Qualifications Graph DB ...

PSRTEK

Senior Semantic Web Engineer (Hybrid)

Chicago, IL · On-site

$126K - $166K/yr

Position:- Senior Semantic Web Engineer Location:- Chicago, IL (Hybrid) Contract WHAT YOU'LL DO ... Build and manage scalable knowledge graph solutions, including data ingestion, linking, and ...

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All JobsUrgently Hiring Knowledge Graph Software Engineer JobsUrgently Hiring Knowledge Graph Software Engineer Jobs in Bolingbrook, IL

Urgently Hiring Knowledge Graph Software Engineer information

See Bolingbrook, IL salary details

$62.8K

$145.9K

$203.2K

How much do urgently hiring knowledge graph software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for urgently hiring knowledge graph software engineer in Bolingbrook, IL is $145,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $171,100.00 per year, depending on experience, location, and employer.

What is the difference between Urgently Hiring Knowledge Graph Software Engineer vs Data Scientist?

AspectUrgently Hiring Knowledge Graph Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, statistics, or related field
Work EnvironmentSoftware development, graph database managementData analysis, modeling, statistical tools
Industry UsageTech, AI, knowledge managementFinance, healthcare, marketing
Search & Comparison IntentTechnical roles focusing on graph data structuresData analysis and predictive modeling

The main difference is that a Knowledge Graph Software Engineer focuses on developing and maintaining graph database systems and related software, while a Data Scientist emphasizes analyzing data, building models, and deriving insights. Both roles require technical skills but serve different functions within data-driven organizations.

What cities near Bolingbrook, IL are hiring for Urgently Hiring Knowledge Graph Software Engineer jobs?

Cities near Bolingbrook, IL with the most Urgently Hiring Knowledge Graph Software Engineer job openings:

Urgently Hiring Knowledge Graph Software Engineer jobs near you

Senior Knowledge Graph Developer

United Airlines, Inc.

Chicago, IL • On-site

$124K - $161K/yr

Full-time

Re-posted 2 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
We are seeking an experienced and passionateSenior Knowledge Graph Developerto 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.

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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