Subject Matter Expert (SME) Data Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with Polygraph

Synertex • Bethesda, MD

8d • Onsite

About The Position

Join a mission that matters. We're seeking a skilled Data Engineering Subject Matter Expert to support critical government and intelligence initiatives through the design, implementation, and optimization of enterprise-scale data systems. This role focuses on enabling advanced analytics and AI-driven capabilities through scalable data pipelines, cloud-based architectures, and high-performance data environments. If you thrive in a fast-paced, mission-driven environment and excel at solving complex data engineering challenges, this opportunity is for you. Position Overview: The Subject Matter Expert (SME) – Data Engineer designs and implements enterprise data systems including data warehouses, data lakes, and data pipelines supporting analytics and AI-driven mission requirements.

Requirements

• TS/SCI clearance with polygraph required , including additional security screenings
• Entry Level: HS/GED + 6 years experience
• Entry Level: Associate's + 4 years experience
• Entry Level: Bachelor's + 2 years experience
• Entry Level: Master's degree (experience may be substituted as appropriate)
• Journeyman Level: HS/GED + 8 years experience
• Journeyman Level: Associate's + 6 years experience
• Journeyman Level: Bachelor's + 4 years experience
• Journeyman Level: Master's + 2 years experience
• Senior Level: HS/GED + 10 years experience
• Senior Level: Associate's + 8 years experience
• Senior Level: Bachelor's + 6 years experience
• Senior Level: Master's + 4 years experience
• Senior Level: PhD + 2 years experience
• Expert / Master Level: HS/GED + 12 years experience
• Expert / Master Level: Associate's + 10 years experience
• Expert / Master Level: Bachelor's + 8 years experience
• Expert / Master Level: Master's + 6 years experience
• Expert / Master Level: PhD + 4 years experience

Responsibilities

• Design and implement data warehouses, data lakes, and enterprise data pipelines.
• Develop cloud-based data architectures and support data integration efforts.
• Create preprocessed datasets supporting AI and machine learning initiatives.
• Ensure enterprise data systems meet security and operational requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED