AI Data Engineer Staff

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in data engineering, including 2+ years supporting AI/ML systems
• Preferred experience working in classified, regulated, or highly secure environments
• Hands-on experience with semantic technologies, including RDF, OWL, and SPARQL
• Experience designing and building ontologies, taxonomies, or knowledge graphs
• Strong proficiency in Python, NiFi, SQL
• Experience with distributed data processing frameworks (e.g., Spark or similar)
• Hands-on experience building ETL/ELT pipelines at scale
• Familiarity with secure cloud environments (e.g., AWS GovCloud, Azure Government) or on-prem systems
• Understanding of data security principles, including encryption, access control, and auditing
• Experience with containerization technologies (e.g., Docker) and orchestration in restricted environments

We are seeking a Senior AI Data Engineer to support mission-critical, classified programs. This role involves designing and maintaining secure, scalable data infrastructure that enables advanced AI/ML capabilities in highly controlled environments. The ideal candidate has experience working within classified or regulated systems and understands the unique constraints of secure data engineering, including semantic data modeling and ontology-driven architectures.

Key Responsibilities

• Design, build, and maintain secure data pipelines for classified AI/ML workloads
• Develop data architectures supporting both batch and real-time processing in air-gapped or restricted environments
• Design and implement ontology-driven data models to support knowledge representation and reasoning
• Develop and query semantic data stores using technologies such as RDF and SPARQL
• Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs
• Implement rigorous data validation, lineage, and governance controls in compliance with security requirements
• Manage data ingestion, transformation, and storage across secure platforms, including graph and semantic databases
• Optimize performance and reliability of large-scale data systems under constrained environments
• Enforce data security, access controls, and auditing standards
• Support deployment and monitoring of AI/ML models in secure production environments
• Mentor junior engineers and uphold secure coding and engineering best practices

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

#EBDT

Desired Skills

• Active TS/SCI
• Master’s degree in a related technical field
• Experience with graph databases (e.g., Neptune, Stardog, Blazegraph)
• Familiarity with real-time streaming technologies (e.g., Kafka) in classified settings
• Experience with DoD/IC data platforms and compliance frameworks (e.g., RMF, NIST 800-53)
• Exposure to AI/LLM pipelines integrated with semantic layers
• Prior experience supporting defense, intelligence, or federal government programs

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.