AI Data Engineer Stf

Lockheed Martin•Fort Worth, GA

1d•Remote

About The Position

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).

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

Nice To Haves

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

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