AI Data Engineer Stf

• 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

We are 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, strong expertise with SAP HANA and modern cloud data services, and recent experience in AI/ML workflows (e.g., data preparation for model training, feature stores, model‑ready data delivery).

Key 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
• US Citizenship

Desired Skills

• 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

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

Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.