Data Engineer - SME
Quick Summary
Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph. Education: Bachelor's degree in Computer Science, Information Systems, Engineering,
Responsibilities
~1 min read- →Architect and lead the end-to-end implementation of enterprise-scale, high-assurance data platforms and data mesh topologies.
- →Serve as the principal technical authority on distributed data systems, lakehouse architectures, and real-time analytical capabilities.
- →Mandate enterprise-wide data security standards, data-at-rest/in-transit encryption protocols, and zero-trust data governance.
- →Set the strategic roadmap for multi-cloud, hybrid, and air-gapped data deployment methodologies.
- →Interface directly with agency leadership and customer executive stakeholders to align data capabilities with mission objectives.
Requirements
~1 min read- Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
- Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
- Experience: 15+ years of data engineering experience.
- Advanced Certifications: AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Kubernetes Certified Administrator (CKA).
- Deep understanding of high-assurance systems, zero-trust data governance, and national security data integration challenges.
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
- Data Processing Frameworks: Enterprise architecture, framework evaluation, and platform strategy across processing systems.
- Database Systems: Architecting petabyte-scale lakehouse infrastructure, distributed storage optimization, and cross-region replication.
- Data Modeling: Strategic enterprise data domain modeling, enterprise ontology design, and schema evolution governance.
- Programming & Scripting: Multi-language mastery (Python, Scala, C++, Go) for low-level platform extension and memory-level engine optimization.
- Containerization: Enterprise multi-cluster Kubernetes strategy, zero-trust container architecture, and data infrastructure scheduling.
- Agile Frameworks: Strategic Agile transformation, scaled program delivery (SAFe), and technical governance.
- Multi-Cloud Architecture: Hybrid, multi-cloud, and air-gapped enterprise data strategy and infrastructure execution.
- Security Scanning Tooling: Enterprise DevSecOps authority, security compliance posture, and risk mitigation strategies.
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Location & Eligibility
Listing Details
- Posted
- August 18, 2026
- First seen
- August 18, 2026
- Last seen
- August 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- August 18, 2026
Signal breakdown
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