Senior Data Engineer – Full-Stack Data Solutions for AI

Lockheed Martin Corporation; Marietta (GA); Presencial; USD 105.000 - 195.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical

Dental

Vision

Flexible work arrangements (e.g., 4x10

401(k) match

Paid time off

Holidays

Parental Leave

EAP

Flexible Spending Accounts

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Descripción de la vacante

Lockheed Martin Corporation is seeking a data engineering leader to deliver full-stack data solutions across the data processing pipeline. You will design and implement data lifecycle systems spanning collection, ingestion, processing, storage, access, and delivery at scale, leveraging local, distributed, and cloud technologies with strong security and authentication mechanisms.

You will build data pipelines that clean, transform, and aggregate unorganized data into analytics-ready sources,

Formación

• Degree in Computer Science, Data Science, or a related field.
• 10+ years of data engineering experience, including 3+ years supporting AI and machine-learning systems and experience with business intelligence and data warehousing concepts such as ETL, data modeling, and reporting.
• 5+ years of experience in data analysis and data or system architecture.
• Interim or Active U.S. Government Security Clearance.
• Ability to obtain special program access.
• Strong proficiency with Eqube, neo4j, and SAP Hana.
• Hands-on experience building ETL or ELT pipelines at scale.
• Experience with Agile methods.

Conocimientos

data engineering

AI/ML experience

data analysis

data architecture

Agile methods

Educación

Computer Science or Data Science degree

Master's degree in a related technical field

Herramientas

Eqube

neo4j

SAP Hana

OrientDB

graphDB

TeamCenter PLM

Descripción del empleo

Lockheed Martin Corporation is seeking a data engineering leader to deliver full-stack data solutions across the data processing pipeline. You will design and implement data lifecycle systems spanning collection, ingestion, processing, storage, access, and delivery at scale, leveraging local, distributed, and cloud technologies with strong security and authentication mechanisms.

You will build data pipelines that clean, transform, and aggregate unorganized data into analytics-ready sources,