Textile Engineer - Data-Driven Innovation (Remote)

Booz Allen Hamilton; Lorton (VA); On-site; USD 69,400 - 158,000; Full time

Job summary

Booz Allen Hamilton seeks a Textile Engineer to help address material challenges and digital transformation gaps in clothing, footwear, and equipment for the Department of Defense. You will apply textile properties, testing, and industry standards to design innovative, high-quality solutions that meet performance benchmarks.

You will also use data analytics to gain insights from current processes, propose enhancements, and partner with cross-functional teams to implement solutions in a dynamic

Qualifications

• 3+ years of experience analyzing performance requirements for clothing, footwear, materials, or individual equipment solutions.
• Experience with fibers, yarns, fabrics, and garment construction.
• Knowledge of sizing and fit, grading, block pattern development, apparel defects, quality assurance, quality control, and prototyping.
• Ability to develop solutions within a collaborative and cross-functional team environment.
• Secret clearance required.
• Bachelor’s degree

Responsibilities

• Address material challenges or digital transformation gaps in clothing and footwear.
• Leverage textile properties, testing, and industry standards to create innovative, high-quality solutions.
• Analyze data to gain insights and propose enhancements to current processes.
• Collaborate with team members to implement solutions in evolving DoW requirements.

Skills

Textile engineering knowledge

Data analytics

Cross-functional teamwork

Secret clearance

Education

Bachelor's degree

Tools

Adobe Illustrator

Gerber Accumark

CLO3D

Browzwear

Job description

Booz Allen Hamilton seeks a Textile Engineer to help address material challenges and digital transformation gaps in clothing, footwear, and equipment for the Department of Defense. You will apply textile properties, testing, and industry standards to design innovative, high-quality solutions that meet performance benchmarks.

You will also use data analytics to gain insights from current processes, propose enhancements, and partner with cross-functional teams to implement solutions in a dynamic