Job description

Standard Job Description We are seeking a senior-level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise-grade data platforms, strong expertise with SAP HANA and recent experience in AI/ML workflows (e.g., data preparation for model training, feature stores, model-ready data delivery) and familiar with ontology model and concept. Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects 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.

Requirements

Must-haves

Standard Job Description
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

Nice-to-haves

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

Application prep

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Keywords to mirror

aimlpythonsqlagile

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave