Knowledge Engineer

Code4lib; Pittsburgh (Allegheny County); On-site; USD 80,000 - 100,000; Full time

Job summary

A data analytics firm is seeking a skilled Knowledge Engineer to join their Data Product & Operations team in Pittsburgh, PA. This full-time role involves building and maintaining taxonomies, controlled vocabularies, and semantic models to enhance the structure of defense acquisition data. Candidates should possess a relevant Bachelor's degree and have significant experience with ontologies and semantic standards. U.S. Citizenship is required, and the position may involve some travel for collaborative efforts.

Qualifications

• 3+ years of experience developing ontologies, taxonomies, or knowledge graphs.
• Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL).
• Hands-on experience with ontology editors and graph databases.

Responsibilities

• Build and maintain ontologies, taxonomies, and controlled vocabularies.
• Map unstructured data to structured semantic models.
• Document semantic models and provide guidance for adoption.

Skills

Ontology and taxonomy development

Collaboration with stakeholders

Semantic web standards

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field

Tools

Ontology editors (e.g., Protégé, TopBraid)

Graph databases (e.g., Neo4j, RDF stores)

Job description

Govini is seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you’ll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini’s Ark platform.

This role is a full‑time position located from our office in Pittsburgh, PA. It may require up to 10% travel.

Scope of Responsibilities

• Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
• Map unstructured data to structured semantic models that integrate with Ark’s data infrastructure
• Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
• Partner with product and domain experts to translate business requirements into semantic solutions
• Document semantic models and provide guidance to support team adoption and effective use
• Help drive organization‑wide understanding and adoption of semantic technologies and best practices.
• Track adoption and measure impact, continuously refining models, tools, and practices

Qualifications

• U.S. Citizenship is required

Required Skills

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
• 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
• Hands‑on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
• Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
• Proven ability to collaborate with technical and non‑technical stakeholders to translate requirements into semantic models

Desired Skills

• Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
• Active U.S. security clearance or ability to obtain one
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Master’s degree in Data Science, Computer Science, Information Systems, or a related field
• Familiarity with defense acquisition data and processes
• Experience with data modeling, schema design, or metadata management

Equal Employment Opportunity

Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

How to apply

https://job-boards.greenhouse.io/govini/jobs/4109415009

Contact

Wynne Lanros
Data Product Manager, Govini
Pittsburgh, PA
[e-mail]
https://www.linkedin.com/in/wynne-lanros-a76988212/