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Overnight 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 ...

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 ...

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 ...

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 JobsKnowledge Graph Software Engineer JobsOvernight Knowledge Graph Software Engineer JobsOvernight Knowledge Graph Software Engineer Jobs in Illinois

Overnight Knowledge Graph Software Engineer information

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

AspectOvernight Knowledge Graph Software EngineerData Engineer
CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, experience with data pipelines
Work EnvironmentDeveloping and maintaining knowledge graph systems overnightBuilding and managing data pipelines during regular hours
Industry UsageTech, AI, knowledge management companiesFinance, tech, healthcare, and data-driven industries

The Overnight Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems during overnight shifts, often working with graph databases and semantic data. In contrast, Data Engineers build and manage data pipelines and infrastructure during regular hours. Both roles require strong technical skills, but their focus areas and work schedules differ significantly.

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:
Overnight Knowledge Graph Software Engineer jobs near you

Knowledge Graph Engineer/Semantic Web Engineer

Magicforce

Chicago, IL

$60 - $70/hr

Contractor

Posted 12 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