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Linked Data Jobs (NOW HIRING)

NY · On-site

$140 - $190/hr

Design and develop Linked Data structures including Knowledge Graphs, Ontologies and Vocabularies to quickly discover, transform and link complex datasets for data science/machine learning algorithms ...

New

$140 - $200/hr

Design and develop Linked Data structures including Knowledge Graphs, Ontologies and Vocabularies to quickly discover, transform and link complex datasets for data science/machine learning algorithms ...

New

Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). * Proficiency in semantic web technologies (e.g. SPARQL, RDF, OWL ...

Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). * Proficiency in semantic web technologies (e.g. SPARQL, RDF, OWL ...

Manager, Ontology & Data Modeling

Richmond, VA · On-site

$54.25 - $70.25/hr

Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.

Emerging Tech: Interest in applying AI and linked data concepts (e.g., Schema.org) to library data challenges. Working Conditions: Normal office environment. ADA/EAA: The above statements cover what ...

Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). * Proficiency in semantic web technologies (e.g. SPARQL, RDF, OWL ...

Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). * Proficiency in semantic web technologies (e.g. SPARQL, RDF, OWL ...

Manager, Ontology & Data Modeling

New York, NY · On-site

$60 - $77.75/hr

Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.

Showing results 41-60

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
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.

Principal Associate, Ontology and Data Modeling

Capital One

Richmond, VA • On-site

$58K - $58K/yr

Full-time

Posted 5 days ago


Key responsibilities

  • Develop, implement, and govern ontologies and optimized data models in consultation with stakeholders.

  • Contribute to data integration and mapping efforts to harmonize data with enterprise ontologies.

  • Partner with Technology, Machine Learning, and other teams to support the development and integration of semantics in products and services.


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

Principal Associate, Ontology and Data Modeling

The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Principal Associate of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of Enterprise initiatives. We are looking for someone to champion the creation and adoption of standardized data. The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

  • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development

  • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

  • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.

  • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services

  • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment

  • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning

  • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL

  • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

  • Test/troubleshoot new or updated models and systems

  • Manage and oversee other projects as assigned by Product Owners and Supervisors

Role-Based Competencies

  • Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges

  • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you

  • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work

  • Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs

  • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help

  • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships

Basic Qualifications

  • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience in a metadata field of work or a masters' degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)

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

  • At least 3 years' experience of experience with SQL, SPARQL, or a combination

Preferred Qualifications

  • Master's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

  • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data

  • Familiarity with graph databases and technologies

  • Familiarity with Python or R

  • Familiarity with JSON, OpenAPI/YAML, AVRO

  • Familiarity with Agile principles, processes, and methodologies

  • Familiarity with Amazon Web Services

  • Detail-oriented and an ability to problem-solve independently

  • Strong reading and writing skills

  • Strong project management experience

  • Excellent communication skills and the ability to present ideas clearly and with confidence.

  • Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


McLean, VA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


New York, NY: $143,200 - $163,500 for Principal Associate, Ontology and Data Modeling


Plano, TX: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling


Richmond, VA: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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