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Data Ontology & Standards Engineer​/Scientist

Job in Riverside, Montgomery County, Ohio, USA
Listing for: Apogee Engineering, LLC
Full Time position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Apogee is seeking a
Data Ontology & Standards Engineer/Scientist
toLead 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/SCI
Education /
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, OH
On-site/Hybrid/Remote:On-site
Travel:Occassional

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