AI Data Engineer Stf

Lockheed Martin is seeking a senior-level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise-grade data platforms and strong expertise with SAP HANA and modern cloud data services.

Responsibilities:

• Design, build, and maintain secure data pipelines for classified AI/ML workloads
• Design and implement ontology-driven data models to support knowledge representation and reasoning
• 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
• Collaboration with data architects and data analysts to develop a solution across the entire data processing pipeline
• Experience working with business stakeholders to develop and deploy data analytics solutions and/or custom software application solutions and leading teams to implement these solutions
• Optimize performance and reliability of large-scale data systems under constrained environments
• Mentor junior engineers and uphold secure coding and engineering best practices
• Responsible for collecting, ingesting, processing, and storing large datasets from a wide variety of data sources and stakeholders
• Able to perform impact analysis including lineage, upstream and downstream dependencies
• Support after hours on-call operations on a rotation basis

Requirements:

• Degree in Computer Science, Systems Engineering, or related field
• 10+ years of experience in data engineering, including 3+ years supporting AI/ML systems - traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
• 5+ years of experience in data analysis, data/system architecture
• Experience in gathering requirements and understanding business processes
• 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
• Familiar with Safe Agile framework
• US Citizenship
• Experience designing and building ontologies, taxonomies, or knowledge graphs
• Demonstrate ability to establish strong team relationships and deliver an exceptional customer experience
• Excellent organizational, time management, analytical and problem-solving skills
• Master's degree in a related technical field