SMX is seeking a Senior Zero Trust Data Engineer to join a team of highly driven, supportive, and skilled professionals engaged in supporting clients across INSCOM programs. For this role, SMX is seeking a skilled professional to develop and manage distributed, parallel data processing pipelines that support Zero Trust (ZT) principles. This role involves end-to-end responsibility for critical data workflows, including establishing data connections, parsing and normalizing data, mapping and modeling structures, enriching datasets, and integrating with advanced data analytics platforms. The ideal candidate will have a strong background in scalable data engineering and a keen understanding of secure, reliable information handling in complex environments.
This is a full-time onsite position in Ft. Belvoir, VA.
Essential Duties & Responsibilities
- Develop and manage distributed parallel data processing pipelines, which include 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, supporting ZT principles.
- Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms.
- 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.
- Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools.
- Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements.
- Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP).
Required Skills, Experience & Education
- Active Top Secret (TS) security clearance with eligibility for SCI and NATO read-on before starting work.
- Security+ certification
- 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.