Ontology Subject Matter Expert (Data Engineering)

TL;DR

Ontology Subject Matter Expert (Data Engineering/Semantic Web): Designing and implementing enterprise data engineering solutions for Object-Based Intelligence with an accent on ontology-driven data integration and advanced analytics. Focus on building scalable data pipelines for AI/ML, optimizing distributed processing frameworks, and ensuring data interoperability across mission systems.

Location: Onsite in Herndon, VA. Must be a U.S. Citizen with an active TS/SCI and CI polygraph.

Salary: $165,000 - $242,000 annually

Company

hirify.global is a spatial intelligence company helping decision makers navigate and shape the future through advanced data solutions.

What you will do

• Lead the design and implementation of enterprise data engineering solutions for Object-Based Intelligence.
• Optimize scalable data pipelines for ingesting, transforming, and integrating data from diverse sources.
• Develop integration frameworks using Semantic Web technologies including RDF, OWL, and SPARQL.
• Collaborate with ontology engineers and Government stakeholders to translate mission requirements into technical solutions.
• Design and implement cloud-native, distributed, and hybrid data architectures.
• Support AI/ML initiatives by developing high-quality data pipelines for model training and inference.

Requirements

• U.S. citizenship and active TS/SCI clearance with CI polygraph.
• 12+ years of experience with an advanced degree or 17+ years with a bachelor's degree.
• Proven experience in enterprise-scale data engineering and ETL/ELT pipeline development.
• Proficiency with relational, NoSQL, and graph databases.
• Familiarity with Semantic Web technologies and knowledge graphs.
• Experience supporting cloud-based or containerized platforms such as Kubernetes and OpenShift.

Nice to have

• Experience supporting Intelligence Community or Department of Defense mission systems.
• Proficiency with Apache Spark, Kafka, NiFi, or Airflow.
• Experience with data lakes, lakehouses, or data fabric architectures.
• Certifications such as AWS Certified Data Engineer, Google Professional Data Engineer, or CDMP.

Culture & Benefits

• Robust 401(k) with company match.
• Mental health resources.
• Student loan repayment assistance.
• Adoption reimbursement and pet insurance.