AI Data Engineer Staff

• 10+ years of experience in data engineering, including 5+ 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
• Hands-on experience building ETL/ELT pipelines at scale

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 models (e.g., data preparation for model training, feature stores, model‑ready data delivery).

Key Responsibilities

• Design, develop, test and execute data engineering principles such in SAP HANA, BODS.
• Design, build, and maintain secure data pipelines for 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.
• Able to support needed for the solutions that was build
• US Citizenship
• This position is for 100% on site position

• 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
• Familiar with Safe Agile framework
• Experience with distributed data processing frameworks (e.g., Spark or similar)
• Familiar with Databricks

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.