Join our classified Aero Data and AI enablement organization where you'll design and build the data solution powering next-generation AI capabilities. This is an opportunity to work on enterprise-scale data platforms that directly support mission-critical objectives in a secure environment.
As an AI Data Engineer, you'll architect and deliver data solutions that fuel AI/ML innovation across the program. Working in classified facilities, you'll build the pipelines, data warehouses, and feature stores that transform raw data into mission-ready insights. You'll partner with AI/ML teams, data scientists, and mission stakeholders to create scalable platforms using technologies like SAP HANA, and modern data engineering practices—all while navigating the unique requirements of classified operations.
This role offers the chance to shape how data and AI solutions are built and delivered for our mission.
Key Responsibilities
Data Platform & Engineering: You'll design, build, and maintain enterprise-grade data pipelines and warehouse solutions that power AI/ML initiatives. This means creating scalable systems that collect, ingest, process, store, and deliver data at the speed and scale the mission demands. You'll work across local, distributed, and cloud-based technologies, implementing data virtualization, smart caching, and the security controls required to protect classified information.
AI/ML Data Solutions: Partner with AI/ML developers to deliver data ready for model training and deployment. You'll build feature stores, create model-ready datasets, and design ontology models that give structure and meaning to complex mission data. Your work enables data scientists and engineers to move faster—from raw data to deployed AI capabilities.
Full Lifecycle Data Engineering: Own the entire data solution lifecycle. You'll profile and analyze data, create conceptual, logical, and physical data models, and architect ETL processes that turn unorganized data into analytics-ready sources. Working through requirements gathering to production deployment, you'll define functional capabilities, security specifications, backup and recovery strategies, and performance optimization approaches.
Classified Program Operations: Work within secure facilities and classified environments, obtaining required clearances and following all security and authentication protocols. You'll implement the controls and mechanisms required to protect sensitive data while enabling teams to move quickly and deliver value.
Degree in Computer Science, Systems Engineering, or related field
2-4 years of experience in data engineering or related data/analytics roles
1+ years of experience supporting AI/ML systems or data science teams
Understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
Able to obtain special program clearance
Familiarity with SAP HANA, Neo4j, Eqube or similar data integration, graph database, and data pipeline tools
Exposure to AI or machine-learning workflows, including data preparation for model training and analysis
Familiarity with ontologies, taxonomies, knowledge graphs, or semantic data modeling
Master's degree in a related technical field or progress toward advanced degree
Pay Information
Full-Time Salary Range: $70500.00 - $130900.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor’s degree in Computer Science, Systems Engineering, or a related field
- 2–4 years of experience in data engineering or related data/analytics roles
- At least 1 year of experience supporting AI/ML systems or data science teams
- Understanding of business intelligence and data warehousing concepts, including ETL, data modeling, and reporting
- Proficiency with Python and SQL databases through coursework, projects, internships, or professional experience
- Understanding of relational databases, data modeling, ETL or ELT pipelines, and data quality
- Ability to analyze problems, learn new technologies, and communicate clearly in a collaborative environment
- Ability to work in an Agile development environment and use version-control tools such as Git
- Ability to obtain special program clearance
- Active U.S. Government Secret Security Clearance
- Familiarity with SAP HANA, Neo4j, Eqube, or similar data integration, graph database, and data pipeline tools
- Exposure to AI or machine-learning workflows, including data preparation for model training and analysis
- Familiarity with ontologies, taxonomies, knowledge graphs, or semantic data modeling
- Master’s degree in a related technical field or progress toward an advanced degree
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
