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Contract Knowledge Graph Software Engineer Jobs in Hempstead, NY

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

What's required * 3+ years of experience in knowledge graph engineering, graph database development, or related work. * Proven experience leading technical teams and mentoring engineers to develop ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

What's required * 3+ years of experience in knowledge graph engineering, graph database development, or related work. * Proven experience leading technical teams and mentoring engineers to develop ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

What's required * 3+ years of experience in knowledge graph engineering, graph database development, or related work. * Proven experience leading technical teams and mentoring engineers to develop ...

Principal Knowledge Engineer

Manhattan, NY · On-site

$197.30 - $313.70/hr

In addition to Knowledge Graph leadership, this role will drive the strategy and productionization ... software quality, operational efficiency, and delivery velocity. The ideal candidate combines deep ...

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Contract Knowledge Graph Software Engineer information

See Hempstead, NY salary details

$66K

$153.4K

$213.7K

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

As of Aug 20, 2026, the average yearly pay for contract knowledge graph software engineer in Hempstead, NY is $153,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,800.00 and $179,900.00 per year, depending on experience, location, and employer.

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 cities near Hempstead, NY are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities near Hempstead, NY with the most Contract Knowledge Graph Software Engineer job openings:

Knowledge Graph Engineer

Squirro

New York, NY • On-site

Full-time

Re-posted 10 days ago


Job description

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise customers.
What You'll Do
As a Knowledge Graph Engineer, you will work closely with customers and internal product and engineering teams to design and deploy semantic and knowledge graph solutions that deliver measurable business value.
  • Client Engagement & Solution Delivery: Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph-based solutions.
  • Semantic Modeling & Knowledge Graph Design: Develop and maintain taxonomies, ontologies, and classification models. Design semantic structures that align user needs with business objectives.
  • Cross-functional Collaboration: Collaborate with product, engineering, and delivery teams to translate customer requirements into scalable semantic and technical solutions.
  • Product Contribution & Customer Feedback: Gather and prioritize client requirements, contribute ideas to the product roadmap, and support product positioning through demos, content, and customer-facing activities.

What You Bring
You will support the Product and Delivery functions in building and deploying high-quality semantic solutions.
  • Strong Python experience
  • Experience in customer-facing roles within software or SaaS environments
  • Strong communication and presentation skills
  • Practical experience developing taxonomies, ontologies, and knowledge graphs
  • Experience managing human and/or machine classification
  • In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL)
  • Familiarity with graph databases, particularly RDF graph databases
  • Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
  • Ability to collaborate effectively across technical and non-technical teams

What we offer
  • Drive growth in a dynamic, high-potential tech environment
  • Enjoy autonomy with our "freedom and responsibility" work approach
  • Collaborate with exceptional talent solving extraordinary challenges
  • Drive customer success and retention while enjoying a flexible environment focused on growth
  • Make a strategic impact while having fun with awesome colleagues

About Squirro
Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology.
Further information about AI-driven business insights can be found at:
https://squirro.com/