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Contract Knowledge Graph Software Engineer Jobs in Illinois

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 ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

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 ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

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 ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

Long Finch Technologies

$55.75 - $73.75/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

Long Finch Technologies

Senior Graph Developer

Westmont, IL · Hybrid

$54.50 - $72/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

Long Finch Technologies

Senior Graph Developer

Berwyn, IL · Hybrid

$55.25 - $73/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

Long Finch Technologies

Senior Graph Developer

Itasca, IL · Hybrid

$53 - $70/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... software engineering, data engineering, or graph technology development. * Extensive hands-on ...

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Contract Knowledge Graph Software Engineer information

What is a contract knowledge graph software engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a contract knowledge graph software engineer?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.

How does a contract knowledge graph software engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Illinois?

The most popular types of Knowledge Graph Software Engineer jobs in Illinois are:

What cities in Illinois are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities in Illinois with the most Contract Knowledge Graph Software Engineer job openings:

Contract Knowledge Graph Software Engineer jobs near you

Senior Knowledge Graph Developer

United Airlines, Inc.

Chicago, IL • On-site

$124K - $161K/yr

Full-time

Posted 18 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

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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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