Type of Requisition:Regular Clearance Level Must Currently Possess:Top Secret/SCI Clearance Level Must Be Able to Obtain:Top Secret SCI + Polygraph Public Trust/Other Required:None Job Family:Software Engineering Job Qualifications: Skills:C# Software Development, GIS Applications, Risk Management Framework Certifications:None
OverviewGeospatial Systems Software Engineer Active TS (SCI eligibility) clearance Springfield, VA (hybrid: one work from home day) At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing
Systems Administrator The Opportunity: The Senior Systems Administrator is responsible for the design, implementation, maintenance, and support of enterprise systems and infrastructure. This role ensures the stability, integrity, and efficient operation of IT systems and will collaborate closely with cross-functional
Company Overview: ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we
Data Architect The Opportunity: For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a
Senior Manager Transportation Solutions Design (remote) Lead Solutions Design Engineers are responsible to support the growth of our Supply Chain Solutions & Dedicated Transportation Solution offerings by developing, designing and winning new business through: Designing solutions
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side