5+ years 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 in highly controlled environments.
Relevant AWS professional or specialty certifications; Security+ or CISSP preferred.
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 movement, organization, and retrieval of large datasets.
Collaborate with engineers and analysts to enhance repeatability, performance, and reliability.
Benefits
Opportunity to work on a mission-critical, classified initiative.
Collaborative environment with experienced technical partners.
Engagement in cutting-edge cloud infrastructure and integration platforms.
Potential for professional growth in a highly specialized field.
Full Job Description
One of our premier clients is seeking an experienced AWS Modeling & Simulation Data Engineer to join a highly skilled team delivering advanced cloud engineering capabilities for a mission-critical, security-sensitive initiative. This is a full-time position that requires an active Top Secret/SCI level clearance. Build the data and compute backbone for advanced modeling and simulation. This role blends data engineering with scalable AWS compute to help technical teams run demanding analytical workloads securely and efficiently. You will work with experienced technical partners in a collaborative environment where careful engineering and measurable results matter.
The program you will be supporting is a highly classified, mission-critical modernization initiative. Your role will be to help build next-generation cloud infrastructure and integration platforms that connect fragmented intelligence, operational data, and mission systems through APIs, MCP servers, and cloud-native technologies.
Key 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 movement, organization, and retrieval of large datasets.
Work with engineers and analysts to improve repeatability, performance, and reliability.
Qualifications:
5+ years 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.
Preferred Qualifications:
Experience with simulation platforms or scientific computing workloads.
GPU-enabled EC2, AWS Batch, HPC, and large-scale scenario data.
Relevant AWS professional or specialty certifications; Security+ or CISSP where applicable.
Requirements:
Active TS/SCI clearance; must be eligible for applicable SCI read-on/indoctrination and additional program-specific access approvals.
Must reside within commuting distance of one of the following 4 approved secure work locations: Herndon, VA; Washington, DC; Seattle, WA; or Denver, CO.
Regular on-site work in an approved secure facility and occasional work at authorized customer facilities may be required. This is not a remote position.
Full-time position, on-site
Please note that pursuant to a government contract, this specific position requires U.S. citizenship status
