Secret Data Engineer (SME)
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Role details
Tech stack
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Job description
The Database & Data Pipeline Engineer will serve as an on-site technical resource in Merrifield, responsible for developing, maintaining, and modernizing data systems across the low-side and high-side enclaves. This role focuses on improving performance, reliability, and scalability for data-centric applications. The engineer will design and optimize data pipelines, manage enterprise databases, and lead modernization efforts using cloud-capable technologies while ensuring compliance with strict security and operational constraints. Responsibilities include: * Develop, maintain, and modernize low-side and high-side database environments, ensuring stability, performance, and scalability. * Design, optimize, and troubleshoot NiFi-based data pipelines supporting high-volume mission workflows. * Administer, tune, and support Oracle and Microsoft SQL Server databases across secure enclaves. * Enhance backend performance for applications by improving data flows, query efficiency, and system integration. * Support Linux and Windows server environments used for database operations, data workflows, and pipeline infrastructure. * Apply cloud platform experience (AWS and/or Azure) to support modernization, migration, or hybrid data processing efforts as permitted by mission requirements. * Perform on-site diagnostics, troubleshooting, and root cause analysis to resolve complex data and system issues. * Collaborate closely with development teams, system administrators, and government stakeholders to ensure alignment with mission goals. * Maintain thorough documentation of technical processes, data models, configurations, and workflows. * Ensure all activities adhere to security, compliance, and data handling requirements in classified environments.
Requirements
- Active Secret clearance
- Hands-on experience with Oracle and Microsoft SQL Server database administration, tuning, and optimization.
- Experience with Linux and Windows server systems in enterprise or secure environments.
- Cloud platform experience (AWS and/or Azure) supporting modernization and migration efforts.
- Experience working within a classified Government environment
- Experience working with Government product owners and stakeholders
- Experience working on an agile development team
- Demonstrated ability to troubleshoot complex data pipeline and database issues in secure onsite environments.
- Strong analytical, communication, and problem-solving skills.
- Strong proficiency in Apache NiFi pipeline development and maintenance.
- Experience working with generative AI such as Claude Code, Copilot, and ChatGPT.
- Experience supporting mission systems or sensitive data environments within federal agencies.
- Knowledge of ETL methodologies, data modeling, and performance optimization strategies.
- Experience modernizing legacy data systems into cloud, virtualized, or containerized architectures within classified environments.
- Relevant technical certifications (Oracle DBA, MCSE, AWS/Azure certs, Linux admin certs).
- Familiarity with DevSecOps practices and CI/CD tools
- Familiarity with secure networking, segmentation, and classified data workflows.
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