Data Engineer (AI) Senior Engineer (4798) (TS/SCI) (Ft. Belvoir, VA - Nolan Bldg)

SMX is seeking a Data Engineer (AI) Senior Engineer to contribute to the development and sustainment of data pipelines and data services that enable AI/ML capabilities within Army Intelligence mission environments. This role focuses on preparing transforming, and delivering reliable data to support model training, inference, and analytic workflows. The Data Engineer (AI) Senior Engineer partners with AI/ML engineers, analysts, platform teams, and mission leadership to align data capabilities with operational outcomes, security, and governance.

This is a full-time onsite position in Ft. Belvoir, VA.

Essential Duties & Responsibilities

Data Pipeline Development & Maintenance

• Build, maintain, and optimize ETL/ELT pipelines that supply structured and unstructured data to AI/ML workflows.


• Implement data ingestion, cleansing, transformation, normalization, and feature preparation steps according to established methods.


• Ensure pipelines are reliable, repeatable, and well-documented.

Data Quality, Validation & Monitoring

• Perform data profiling, validation, and integrity checks to ensure high-quality inputs to AI/ML models.


• Monitor data pipeline performance and data flow health; document and escalate issues to senior engineers.


• Contribute to improving data observability and traceability.

Deployment & Monitoring

• Employ Agile methodologies for project management.


• Manage deployment pipelines, containerization, and CI/CD workflows for AI services in the cloud to ensure reproducible data operations.


• Implement robust monitoring, observability, and performance tracking for AI-supporting data systems.

Training & Support

• Provide training and technical support to military personnel to ensure effective adoption and utilization of AI technologies.


• Document integration architecture, processes, and operational dependencies, to include data structures, transformation logic, data lineage, pipeline workflows, and operational procedures.

Compliance & Security

• Ensure compliance with military security, privacy and governance standards for AI-supporting data systems.


• Ensure processes and procedures leverage changes in data engineering and AI/ML governance best practices.

Required Skills, Experience & Education

Security

• Active TS security clearance and eligible for SCI and NATO read-on prior to starting work


• Meet all requirements to receive a privileged user account on a TS/SCI information system (e.g. Army Cloud Computing Service Provider) prior to starting work. The requirements are currently defined in DoDD 8140.01.


• Security+ or related DoDD 8140-relevant certification.

Education and Experience

• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field and 3+ years of experience in data engineering or large-scale data processing in an AI/ML-supporting capacity, or


• Bachelor’s Degree and in Computer Science, Data Science, Engineering, or a related technical field and 7+ years of experience in data engineering or large-scale data processing in an AI/ML-supporting capacity.

Technical Expertise

• Hands-on experience with data engineering or large-scale data processing.


• Experience with programming and/or scripting languages (e.g., Python, SQL, Bash).


• Familiarity with cloud platforms, data storage systems, and workflow orchestration tools.


• Understanding of containerization and CI/CD principles.

National Security Operations Knowledge

• Familiarity with military operations, intelligence workflows, and digital platforms.


• Ability to work within the constraints of military security and compliance standards.

Problem-Solving & Communication

• Able to work closely with model developers, analysis, and platform engineers to understand data requirements and operational context.


• Strong problem-definition and solution-development skills to troubleshoot and optimize data operations in support of AI/ML systems.


• Excellent communication and interpersonal skills for effective collaboration with diverse teams.


• Support new team member onboarding and assist with training materials as needed.

Desired Skills/Experience

• Background in data privacy, ethical AI deployment, or regulated industries


• AWS Certified Security – Specialty or equivalent cloud certifications.

Application Deadline: December 8, 2025

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The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:

$115,600—$192,700 USD

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).