AI Data Engineer Staff

JOB ID: 728531BR

Date posted: May. 27, 2026

Description:

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

Basic Qualifications:

• 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

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

Clearance Level:

None

Other Important Information You Should Know

Expression of Interest:

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.

Work Schedules:

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position:

4x10 hour day, 3 days off per week

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.

Experience Level:

Experienced Professional

Business Unit:

ENTERPRISE BUSINESS SERVICES

Relocation Available:

No

Career Area:

Information Technology

Type:

Full-Time

Shift:

First

At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.

Pioneering Defense Technology: From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business.

United By Culture: Excellence, integrity, and collaboration define us. We accelerate change and embrace one another’s perspectives to win for our customers.

Real Impact, Real Growth: Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility.

Your Health, Your Wealth, Your Life: Competitive pay, comprehensive benefits and flexible schedules designed so you thrive — at work and beyond.

Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet.

Here, the possibilities are endless because we offer:

Flexible Schedules, dependent on role Levels: Student, Entry, Mid, Senior, Management Locations: Nationwide & OCONUS Positions