Apogee Engineering, LLC
Data Ontology & Standards Engineer/Scientist
Skills
2 months ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
18 August 2026
What they need
Overview
Apogee is seeking a Data Ontology & Standards Engineer/Scientistto Lead the design and governance of mission-focused data ontologies, standards, and knowledge models to enable interoperable, integrated intelligence data across NASIC and partner enterprises.
****Contingent Upon Contract Award****
Responsibilities
- Develop and maintain knowledge models, including mission-relevant terms, definitions, hierarchies, and relationships.
- Define and document data standards that enable consistent data integration and reuse.
- Collaborate with cross-functional teams (mission analysts, engineers, architects, data owners) to validate and adopt standards.
- Guide data architecture planning and standard approval processes in coordination with governance bodies.
- Support integration of ontologies and standards into tools, repositories, and workflows.
- Produce the monthly Data Ontology Posture Report documenting progress against mission requirements and recommended standards.
Qualifications
Minimum Experience:
**Citizenship:**Must be a US citizen Clearance:Ability to obtain and maintain TS/SCIEducation / Years of Experience:
- Bachelor’s degree in Information Science, Computer Science, Data Science, or related field.
- 8+ years of experience in data architecture, ontology/metadata design, or enterprise data management.
- Experience defining and managing controlled vocabularies, taxonomies, or ontologies in complex domains.
- Strong understanding of data modeling concepts and data integration patterns.
- Demonstrated ability to lead cross-functional standards and governance efforts.
Preferred Qualifications:
- Experience with semantic technologies (e.g., RDF/OWL, knowledge graphs) or standards such as UML, OWL, or SKOS.
- Background in intelligence data standards or community data models.
- Experience implementing data standards within cloud or enterprise platforms.
- Familiarity with MBSE, digital engineering, or analytics platforms that consume standard data models.
*Additional Information***Location:Wright Patterson AFB Dayton, OHOn-site/Hybrid/Remote:On-siteTravel:**Occassional
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