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Contract Knowledge Graph Software Engineer Jobs in Illinois

Associated Bank - Corp

Knowledge Engineer

Chicago, IL · On-site

Role Summary As a Knowledge Engineer, you'll help build the foundation that enables data to be ... Develop enterprise semantic models, ontologies, taxonomies, and knowledge graph structures that ...

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 ...

Swift Hire LLC

Senior Semantic Web Engineer

Chicago, IL · On-site

$126K - $166K/yr

In this role, you will work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. You will collaborate closely with a ...

EROS Technologies Inc

Software Engineer

Chicago, IL

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 ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j ... Experience: 7+ years of experience in software development or AI engineering, with a strong ...

Transloop

Software Engineer

Chicago, IL · On-site

... Graph API, DAT API, Turvo API, Slack API, SFTP knowledge, ERP integration(s) * Feeding 3 projects on Google Cloud Platform (GCP) - Customer, Carrier, Operations * 50+ cloud run services deployed via ...

Morningstar, Inc.

Software Engineer

Chicago, IL · On-site

$89K - $131K/yr

You will be a member of a vibrant technical community, sharing your knowledge while also learning ... Experience with Amazon Neptune, graph databases, and Gremlin for modeling and querying taxonomy ...

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All JobsContract Knowledge Graph Software Engineer JobsContract Knowledge Graph Software Engineer Jobs in Illinois

Contract Knowledge Graph Software Engineer information

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 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, and why are they important?

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.
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

Knowledge Graph Engineer/Semantic Web Engineer

Magicforce

Chicago, IL

$60 - $70/hr

Contractor

Posted 13 days ago

Job description

We are seeking a skilled and motivated Senior Semantic Web Engineer to join our team. In this role, you will work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. You will collaborate closely with a team of scientists, developers, and architects to design and implement scalable semantic web applications that support healthcare data intelligence. This is an excellent opportunity for someone with strong engineering skills and a passion for applying semantic technologies to real-world challenges in a dynamic and fast-growing environment. 

WHAT YOU’LL DO:

  • Serve as a subject matter expert in semantic web development on our graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies. 
  • Collaborate with the Staff Semantic Engineer and other senior engineers to standardize tooling, design patterns, and modeling approaches. 
  • Help define the technical direction for core semantic capabilities, ensuring scalable and robust solutions. 
  • Independently research, evaluate, and propose innovative solutions to complex and ambiguous technical challenges. 
  • Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms. 
  • Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes. 
  • Partner with product owners to refine features into actionable user stories that deliver business value. 
  • Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support our domain. 
  • Recommend and implement semantic web tools, platforms, and technologies. 
  • Support ontology governance processes and enterprise graph management tools. 
  • Collaborate with stakeholders, including data scientists, engineers, and developers, to understand requirements and build effective semantic solutions. 
  • Provide technical mentorship to junior team members on semantic web principles and implementation patterns. 

WHAT YOU’LL NEED:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related STEM field
  • 5+ years of hands-on experience in semantic web or knowledge graph engineering, including leading complex projects. 
  • Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB. (Amazon Neptune preferred) 
  • Strong proficiency in Python; familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus.
  • Practical experience with RDF, OWL, SPARQL, and ideally SHACL. 
  • Experience with relational databases (SQL) and graph databases (SPARQL). 
  • Hands-on experience with ontology/graph tools such as Protégé, TopBraid, or Metaphactory. (Metaphactory preferred) 
  • Solid understanding of data modeling, ETL processes, and data governance. 
  • Experience with cloud platforms (AWS preferred) and their data services.
  • Understanding of AI/ML concepts and how semantic data can enhance AI applications.
  • Familiarity with CI/CD, agile practices, and infrastructure tools like Git, Jenkins, Azure DevOps, and Terraform.
  • Strong communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10