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Linked Data Jobs (NOW HIRING)

Fabrion

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

Palantir Ontology, Linked Data, W3C standards) * Familiar with fine-tuning LLMs or enabling RAG pipelines using enterprise knowledge * Experience enforcing data access policy with tools like OPA ...

Capital One Group

$143 - $164/hr

At least 3 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 3 years' experience of experience ...

New

Capital One Group

$121 - $138/hr

At least 2 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 2 years' experience of experience ...

New

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Linked Data information

What is linked data?

Linked Data refers to a method of publishing structured data on the web so that it can be easily connected and queried across different sources. It uses standard web technologies such as HTTP, RDF, and URIs to enable data from different domains to be linked and integrated. This approach allows for greater interoperability and discoverability of information, making it easier to build applications that use data from diverse sources. Linked Data plays a key role in the Semantic Web, supporting more intelligent and context-aware web services.

What are the key skills and qualifications needed to thrive as a linked data specialist, and why are they important?

To thrive as a Linked Data Specialist, you need a solid background in data modeling, semantic web technologies, and knowledge of standards like RDF and SPARQL, often supported by a degree in computer science or information science. Familiarity with tools such as Protégé, triple stores (e.g., Apache Jena, Virtuoso), and ontology editors, as well as experience with web data integration, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These skills enable accurate data linking, interoperability, and the development of robust, reusable semantic data solutions across organizations.

What are some common challenges faced when working as a linked data specialist, and how can they be addressed?

Linked Data specialists often encounter challenges such as integrating heterogeneous data sources, ensuring data quality, and maintaining semantic consistency across datasets. Addressing these issues typically involves using established ontologies, adhering to best practices in RDF modeling, and collaborating closely with domain experts and data owners. Regular team meetings and documentation help ensure consistency, while leveraging open standards and validation tools can minimize errors and incompatibilities.

What is the difference between Linked Data vs Data Analyst?

AspectLinked DataData Analyst
Required CredentialsKnowledge of RDF, SPARQL, ontologiesBachelor's in statistics, data science, or related field
Work EnvironmentSemantic web projects, data integration, knowledge graphsData interpretation, reporting, business insights
Employer & Industry UsageTech, research, semantic web companiesFinance, marketing, healthcare, various industries
Search & Comparison IntentUnderstanding semantic data structuresAnalyzing and interpreting data sets

While both roles involve working with data, Linked Data focuses on structuring and connecting data using semantic web technologies, whereas Data Analysts interpret data to provide business insights. The roles differ in tools, environment, and objectives but share a common goal of leveraging data effectively.

More about Linked Data jobs

What job categories do people searching Linked Data jobs look for?

The top searched job categories for Linked Data jobs are:

Linked Data jobs near you
Infographic showing various Linked Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Architect with Fabric, Graph and Ontology

Volto USA

Tampa, FL • On-site

$60.25 - $77.50/hr

Contractor

Re-posted 19 days ago

Job description

Data Architect with Fabric, Graph and Ontology

Tampa, FL - Hybrid

Contract

Job Title: Data Architect / Engineer - Knowledge Fabric (Graph Database Experience) Job Description:

We are seeking an experienced Data Architect / Engineer with expertise in Graph DB experience and ideally knowledge of Graph RAG patterns and Ontology including OWL to join our team and support on the development and implementation of a knowledge repository platform. In this role, you will design, build, and optimize data architectures that enable robust, scalable, and efficient knowledge of representation and discovery across complex, interconnected datasets.

Responsibilities:

• Design, develop, and maintain data architectures and models specifically leveraging graph database technologies (e.g., Neo4j, Amazon Neptune, Tiger Graph).

• Collaborate with data scientists, data engineers, and domain experts to understand data requirements and translate them into scalable graph data models and solutions.

• Develop ETL/ELT processes for ingesting, transforming, and loading data into graph databases, ensuring data integrity, quality, and consistency.

• Optimize data storage and retrieval for performance, query efficiency, and scalability in graph environments.

• Implement data governance and security best practices in accordance with organizational policies.

• Analyze complex datasets to identify relationships and create knowledge graphs that support insights and innovation.

• Ensure seamless integration with other data platforms, APIs, and services within the overall data ecosystem.

• Provide technical leadership, documentation, and standards for graph data architecture.

• Stay updated with the latest trends and advancements in graph technology and data architecture.

Required Skills and Qualifications:

• Proven experience as a Data Architect, Data Engineer, or in a similar role with a focus on graph databases.

• Experience with .NET development. (Must have) • Power BI and Databricks knowledge (Nice to have) • Exposure to Azure DevOps.

• Hands-on experience designing and deploying knowledge graphs and graph data models.

• Strong proficiency in graph query languages such as Cypher, Gremlin, or SPARQL.

• In-depth knowledge of graph database platforms (Neo4j, Amazon Neptune, Tiger Graph, etc.).

• Solid understanding of data modeling concepts, relational and NoSQL databases.

• Experience designing ETL pipelines and data workflows for graph-based systems.

• Proficiency in programming languages such as Python, Java, or Scala used for data processing.

• Familiarity with cloud platforms and services (AWS, Azure, GCP) relevant to data architecture.

• Understanding of data governance, metadata management, and security protocols.

• Excellent problem-solving skills and ability to work collaboratively in cross-functional teams.

• Strong communication skills to convey technical concepts to both technical and non-technical stakeholders.

Preferred:

• Experience with Semantic Web technologies and standards (RDF, OWL, Linked Data).

• Knowledge of AI/ML applications leveraging graph data.

• Background in knowledge management, knowledge graphs, or ontologies.

• Familiarity with containerization and orchestration tools (Docker, Kubernetes).

Role Descriptions: Good Communication Skill Essential Skills: Service Now Desirable Skills:

Keyword:

Skills: Digital : ServiceNow_IT Service Management~ServiceNow Experience Required: 8-10