AWS Modeling & Simulation Data Engineer

Virtual Service Operations • Herndon, VA

5d • $180,000 - $230,000 • Onsite

About The Position

Virtual Service Operations (VSO) is seeking an experienced AWS Modeling & Simulation Data Engineer to build the data and compute backbone for advanced modeling and simulation. The role combines data engineering with scalable AWS compute to support demanding analytical workloads securely and efficiently as part of a mission-critical, security-sensitive initiative. The engineer will work collaboratively with technical partners in a highly controlled environment, focusing on careful engineering and measurable results.

This is a full-time, on-site position. The employee must reside within commuting distance of an approved secure work location in Herndon, Virginia; Washington, DC; Seattle, Washington; or Denver, Colorado. Regular on-site work at an approved secure facility is required, and occasional work at authorized customer facilities may be required. This is not a remote position. The role requires an active TS/SCI clearance, eligibility for applicable SCI read-on/indoctrination and additional program-specific access approvals, and U.S. citizenship pursuant to a government contract.

Requirements

• At least 5 years of experience in data engineering, modeling and simulation, or related technical engineering.
• Hands-on AWS experience with data pipelines and compute-intensive workloads.
• Ability to design reliable data processing and storage solutions.
• Hands-on AWS cloud experience and ability to work effectively in highly controlled environments.
• Active TS/SCI clearance.
• Eligibility for applicable SCI read-on/indoctrination and additional program-specific access approvals.
• Must reside within commuting distance of Herndon, VA; Washington, DC; Seattle, WA; or Denver, CO.
• U.S. citizenship is required pursuant to a government contract.
• Excellent written and verbal communication skills.
• Ability to work independently while valuing teamwork.
• Excellent problem-solving skills.

Nice To Haves

• Experience with simulation platforms or scientific computing workloads.
• Experience with GPU-enabled EC2, AWS Batch, HPC, and large-scale scenario data.
• Relevant AWS professional or specialty certifications; Security+ or CISSP where applicable.

Responsibilities

• Design data ingestion, storage, and processing pipelines for simulation workloads.
• Support GPU-enabled compute and scalable workloads using Amazon EC2, AWS Batch, or HPC patterns.
• Optimize the movement, organization, and retrieval of large datasets.
• Work with engineers and analysts to improve repeatability, performance, and reliability.

Benefits

• Ongoing learning and development opportunities.
• Competitive salaries.
• Health benefits.
• Flexible work arrangements.
• Benefits for eligible employees related to health, retirement, and professional development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed