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Knowledge Graph Jobs in Chicago, IL (NOW HIRING)

Associated Bank - Corp

Knowledge Engineer

Chicago, IL · On-site

  • Retirement

  • PTO

Develop enterprise semantic models, ontologies, taxonomies, and knowledge graph structures that create consistent business meaning across data domains. * Define and maintain enterprise business ...

Long Finch Technologies

Senior Graph Developer

Northbrook, IL · Hybrid

$55.25 - $73/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

Long Finch Technologies

Senior Graph Developer

Hines, IL · Hybrid

$54 - $71.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

Long Finch Technologies

Senior Graph Developer

Chicago, IL · Hybrid

$54.75 - $72.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

Long Finch Technologies

Senior Graph Developer

Willowbrook, IL · Hybrid

$54 - $71.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

Long Finch Technologies

Senior Graph Developer

Rosemont, IL · Hybrid

$55 - $72.50/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

Long Finch Technologies

Senior Graph Developer

Villa Park, IL · Hybrid

$53.75 - $71/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

Long Finch Technologies

Senior Graph Developer

Broadview, IL · Hybrid

$53.75 - $71/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

Long Finch Technologies

Senior Graph Developer

Carol Stream, IL · Hybrid

$56.25 - $74.50/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

Long Finch Technologies

Senior Graph Developer

Deerfield, IL · Hybrid

$55.50 - $73.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

Long Finch Technologies

Senior Graph Developer

Oak Park, IL · Hybrid

$53.75 - $71/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

Long Finch Technologies

Senior Graph Developer

Lincolnwood, IL · Hybrid

$54.25 - $71.50/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

Long Finch Technologies

Senior Graph Developer

Evanston, IL · Hybrid

$52.25 - $69/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and ...

New

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Knowledge Graph information

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How much do knowledge graph jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for knowledge graph in Chicago, IL is $31.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the knowledge graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

What is a knowledge graph?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What are some typical daily responsibilities of a knowledge graph engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in Chicago, IL?

The most popular types of Knowledge Graph jobs in Chicago, IL are:

What are popular job titles related to Knowledge Graph jobs in Chicago, IL?

For Knowledge Graph jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph jobs in Chicago, IL look for?

The top searched job categories for Knowledge Graph jobs in Chicago, IL are:

Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $66,496 per year, or $32 per hour.

Senior Knowledge Graph Developer

United Airlines, Inc.

Chicago, IL • On-site

$124K - $161K/yr

Full-time

Posted 16 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 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

United Airlines logo

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

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