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Data Engineer Stf at Lockheed Martin in Fort Worth, TX
Job Description
Data Engineer Stf
Location: Fort Worth, TX
Standard Job Description
Join our Aero Data and AI Enablement organization to design and build the data solutions powering next‑generation AI capabilities. You’ll work on enterprise‑scale data platforms that support mission‑critical objectives in a secure environment, focusing on Aero MES Acceleration for seamless data‑and‑analytics reporting and other Aero Data Analytics initiatives.
Responsibilities
- Design, build, and maintain data pipelines and warehouses that collect, ingest, process, store, and deliver data at scale.
- Apply systems‑engineering principles across the data lifecycle: collect, ingest, process, store, persist, access, and deliver data quickly and securely.
- Work with local, distributed, and cloud technologies, implementing data virtualization, smart caching, and robust security/authentication for classified information.
- Develop ETL processes that clean, transform, and aggregate unstructured data into analysis‑ready sources.
- Own the end‑to‑end data solution lifecycle: profile data, create conceptual, logical, and models, define functional capabilities, security specifications, backup/recovery, and performance optimizations.
- Participate in an on‑call rotation to ensure timely business support.
We offer the chance to impact mission‑critical AI initiatives while working with cutting‑edge technologies in a collaborative, secure environment.
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
- Strong proficiency in Python or NiFi or SQL
- Hands-on experience building ETL/ELT pipelines at scale
- Understanding of data security principles, including encryption, access control
- Familiar with Safe Agile framework
Desired Skills
- 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
- Experience in Databricks, SAP HANA/BODS
- Familiar and able to use Agentic AI as a solution tool
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.