Data Engineer (junior career)
Fort Worth, TXFull-time$71–131K/yrSeen 1w agoSeen in employer's feed today
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Requirements
Credentials this posting asks for.
Job overview
The AI Data Engineer will design and deliver enterprise data solutions supporting AI/ML initiatives in classified environments. The role builds data pipelines, warehouses, feature stores, and model-ready datasets, and partners with AI/ML teams, data scientists, and mission stakeholders. It spans data modeling and ETL architecture through production deployment, while implementing security controls for sensitive information.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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 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.
Basic Qualifications
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)
Proficiency with Python and SQL databases, demonstrated through coursework, projects, internships, or professional experience
Understanding of foundational data engineering concepts, including relational databases, data modeling, ETL or ELT pipelines, and data quality
Ability to analyze problems, learn new technologies, and communicate clearly in a collaborative team environment
Ability to work in an Agile development environment and use version-control tools such as Git
Able to obtain special program clearance
Active U.S. Government Secret Security Clearance
Desired Skills
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.
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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.
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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.
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
How this job compares
Set against the 6,271 open Data Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$71–131K/yr
- Texas median$116–208K/yr312 salary ranges
- US median$122–208K/yr4,890 salary ranges
This range's midpoint, $101K, is 36% below the Texas median midpoint ($157K) — in the lowest quarter of Data Engineer salary ranges in Texas.
- Openings
- Olive Jobs lists 468 open Data Engineer jobs in Texas and 6,271 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience — less than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,484 postings).
- Education
- This posting asks for a bachelor's degree; 2,406 of the 6,271 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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