Standard Job DescriptionJoin 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 InformationFull-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.
