Ontology Data Engineering SME — TS/SCI Clearance

Vantor Inc.

Herndon (VA)

On-site

USD 165,000 - 242,000

Full time

14 days+

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Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Inc. is seeking a Data Engineering Subject Matter Expert to provide technical leadership for enterprise data solutions supporting Object-Based Intelligence mission needs. You will shape data architectures, pipelines, and integration frameworks across diverse data types and systems.

You will work with ontology engineers, software teams, and Government stakeholders to deliver scalable, secure data platforms and governance that enable analytics, knowledge discovery, and decision advantage.

Qualifications

Must be a U.S. citizen and have an active TS/SCI with CI polygraph.

Responsibilities

Lead the design, development, and implementation of enterprise data engineering solutions supporting Object-Based Intelligence mission requirements.
Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple internal and external sources.
Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.
Collaborate with ontology engineers, software engineers, database engineers, analysts, and Government stakeholders to translate mission requirements into scalable data engineering solutions.
Design and implement data architectures supporting cloud-native, distributed, and hybrid computing environments.
Establish data quality, metadata management, lineage, and governance processes to ensure consistency, traceability, and interoperability across enterprise data assets.
Optimize data processing performance using modern distributed processing frameworks and scalable storage technologies.
Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated datasets and semantic context for model training, inference, and decision support.
Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.
Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.
Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and enterprise integration strategies.