Data Engineer (Senior) (5164) (TS/SCI) (Ft. Belvoir, VA)

SMX is seeking a Data Engineer (Senior) 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

• Assist the Principal Data Engineer with leading a team of 5-8 engineers
• Assist the Principal Data Engineer with the professional development of the data engineering personnel
• Develop and manage distributed parallel data processing pipelines, which includes but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics
• Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform
• Apply agile methodologies to the data engineering part of the system development life cycle (SDLC)
• Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements
• Communicate clearly and effectively with teammates, customers, and external partners
• Prepare written and verbal communications on analyses, findings, and project progress
• Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material
• Supervise two or more other employees.

Required Skills, Experience & Education

• Active TS security clearance and eligible for SCI and NATO read-on prior to starting work
• Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8 years' experience as a data engineer OR a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10 years' experience as a data engineer
• 8 years' experience with distributed parallel streaming and batch data processing pipelines
• 8 years' experience with Python, Java, or other programming languages
• 8 years' experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
• 8 years' experience with developing, operating, and maintaining data processing pipelines in a classified environment
• 8 years' experience integrating with data SDKs / APIs and data analytics SDKs / APIs
• 8 years' experience with data mapping, modeling, enriching, and correlating classified data
• 8 years' experience with the identification and deduplication of data sources and record types to meet military requirements
• 8 years' experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
• 5 years' experience with Python and the Python interface to Spark (PySpark)
• 5 years' experience with Java and the Java interface to Spark

Desired Skills/Experience

• Meet all requirements to receive a privileged user (PU) account on a TS/SCI information system (e.g. AC2SP) prior to starting work. The requirements are currently defined in DoDD 8140.01.
• 8 years' experience integrating with Army Intel information systems and record types
• 3 years' experience with Palantir Foundry

Application Deadline: April 30, 2026

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