Data Engineer Stf

Standard Job Description

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 experienced 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, cloud architectures, 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 Architecture & 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 teams 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.

Basic Qualifications

• 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
• Hands-on experience building ETL/ELT pipelines at scale
• Familiar with Safe Agile framework

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

Pay Information

Full-Time Salary Range: $104900.00 - $194700.00

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.