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Knowledge Graph Jobs in New York (NOW HIRING)

Squirro

Knowledge Graph Engineer

New York, NY

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 ...

Squirro

Knowledge Graph Engineer

New York, NY · On-site

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 ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

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 ...

BNY

Knowledge Graph Engineer

Manhattan, NY · On-site +1

$126K - $151K/yr

We are seeking a Knowledge Graph Engineer to join our Data Innovation team. In this role, you will design and build the data pipelines and graph-enabled data structures that power our Investment Data ...

BNY Mellon

Knowledge Graph Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a Knowledge Graph Engineer to join our Data Innovation team. In this role, you will design and build the data pipelines and graph-enabled data structures that power our Investment Data ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities. * Define and implement best practices for knowledge graph ...

Point72

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities. * Define and implement best practices for knowledge graph ...

3B Staffing LLC

Graph Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The graph data engineer is responsible for developing and enhancing Jefferies knowledge graph to empower several applications in the firm. You will work in close collaboration with software engineers ...

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Knowledge Graph information

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$10

$33

$130

How much do knowledge graph jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for knowledge graph in New York is $33.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $28.41 per hour, depending on experience, location, and employer.

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 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 are the most commonly searched types of Knowledge Graph jobs in New York?

The most popular types of Knowledge Graph jobs in New York are:

What are popular job titles related to Knowledge Graph jobs in New York?

For Knowledge Graph jobs in New York, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph jobs in New York look for?

The top searched job categories for Knowledge Graph jobs in New York are:

Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $70,620 per year, or $34 per hour.

Knowledge Graph Engineer

Squirro

New York, NY

Full-time

Re-posted 27 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/

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