Secret Security Clearance Jobs in Washington DC
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Looking for Secret Security Clearance jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Secret Security Clearance position in the Washington DC area.
Sales Development Representative, Dragonfly
Company: FiscalNote
Location: Washington DC
Posted Jan 27, 2025
The Sales Development Representative role at Dragonfly involves generating sales opportunities with non-clients for the Business Development team. The primary focus is on creating meetings for the North America Business Development team through cold outreach and nurturing existing marketing-generated leads. Success is measured by the number of leads converted into qualified opportunities. The role requires 80% of time on sales-related activities, including generating fully qualified sales meetings, building strategic plans, and running targeted email campaigns. The remaining 20% is spent on marketing tasks such as nurturing leads, inviting prospects to analyst calls, and maintaining the prospect marketing database. The base salary range is $50,000 - $55,000 per year. The ideal candidate should have a BA in a relevant subject, strong interpersonal skills, and a demonstrable ability to work in a targeted environment.
SharePoint Designer Developer-Top Secret clearance required
Company: Deloitte
Location: Washington, DC
Posted Jan 27, 2025
Model Based Space Systems Engineer
Company: The Aerospace Corporation
Location: Washington DC
Posted Jan 27, 2025
The Aerospace Corporation is seeking a Model Based Space Systems Engineer to implement creative MBSE approaches for new and existing space ground and launch systems. The ideal candidate will have a Bachelor's degree in a relevant engineering discipline, proficiency in MBSE modeling languages and tools, and 6 years of experience in space systems engineering. The role involves developing and evaluating architecture and engineering models, infusing MBSE practices into internal and external programs, and advising customers on MBSE methodologies. The position requires a current TSSCI security clearance and US citizenship.
Enterprise MF Risk - Risk Management - Senior Associate (Flexible Hybrid)
Company: Fannie Mae
Location: Washington, DC
Posted Jan 27, 2025
Security Engineer, Vulnerability Management
Company: Meta
Location: Washington, DC
Posted Jan 27, 2025
Radar Enterprise Systems Engineer
Company: The Aerospace Corporation
Location: Washington DC
Posted Jan 27, 2025
The Aerospace Corporation is seeking a Radar Enterprise Senior Project Engineer to lead their contributions to the GEOINT Enterprise Capability Area. The role involves delivering emerging architectures for the customers Radar Portfolio Manager, including development, evaluation, and maturation of Radar architecture concepts. The successful candidate will also be responsible for integration of existing and planned systems, identification and mitigation of system risks, and prototype development of Digital Engineering solutions. The position requires a Bachelors degree in engineering, at least 12 years of professional engineering experience, and relevant technical programmatic and engineering Radar domain experience.
Enterprise MF Risk - Risk Management - Senior Associate (Flexible Hybrid)
Company: Fannie Mae
Location: Washington, DC
Posted Jan 27, 2025
Senior SQL Database Engineer-Top Secret clearance required
Company: Deloitte
Location: Washington, DC
Posted Jan 27, 2025
Enterprise Analytics and Modeling - Risk Management - Senior Associate (Open to Remote)
Company: Fannie Mae
Location: Washington, DC
Posted Jan 27, 2025
Data Scientist (Top Secret)
Company: Spry Methods, Inc.
Location: Washington DC
Posted Jan 27, 2025
Spry is looking for a highly skilled Data Scientist with a Top Secret clearance. The ideal candidate should have extensive experience in designing and building complex data models, and be familiar with machine learning and AI. The role involves designing data models, developing machine learning algorithms, analyzing large datasets, collaborating with cross-functional teams, creating documentation, staying updated with advancements in data science, developing data visualizations, ensuring data quality, and identifying data-related issues.