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The role requires both broad and deep architecture, engineering and strategic experience with Microsoft Azure or comparable cloud technologies; specifically, deep technical expertise in cloud-native software defined networking, cloud security, cloud platforms, SRE practices, and Azure Infrastructure as Code modules; Azure Data services, Azure DevOps Repos and Pipelines; Azure Platform as a Service (PaaS); Azure Infrastructure as a Service (IaaS) and supporting technologies.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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As a RCDD Engineer, you will: Responsible for maintaining the Inside Plant cable infrastructure to include conduit, cable trays, copper, coax, fiber and all associated elements in the Pentagon, Mark Center, & buildings within the NCR supported by JSP. Must follow JSP and commercial best practice procedures, standards and/or provide Engineering Installation Plans (EIPs) required for installation of cable racks, wiring of the racks and testing required during installation.
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Review project plans, Construction Security Plans, construction blueprints, architectural drawings, and technical data to determine compliance with relevant Department of State (DoS) and Intelligence Community (IC) standards.
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Experience reviewing project plans, construction Security Plans, architectural drawings, and/or technical data to determine compliance with applicable laws and regulations. Respond to Requests for Information, providing engineering/architectural insight on potential technical security vulnerabilities including electrical power systems and red/black isolation.
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Performs test-driven software engineering and development activities associated with designing, developing, maintaining, and enhancing the Big Data analytic system using an Agile DevSecOps model.
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Desired Skills and Experience Experience using Cameo Enterprise Architect (CEA) or Cameo Systems Modeler (CSM) Experience in military systems Knowledge of relevant domains such as aerospace or defense industries Geospatial data processing Curious and excited to learn new technologies Interested in maintaining and adapting complex systems An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and Agile methodologies.
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Provides guidance to one or more security engineers Support security authorization activities in compliance with NSA/CSS Information System Certification and Accreditation Process (NISCAP) and DoD Information Assurance Certification and Accreditation Process (DIACAP) process, the NIST Risk Management Framework (RMF) process, and prescribed NSA/CSS business processes for security engineering.
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Knowledge of other GIS applications such as ArcGIS Earth and QGIS. Ability to create and incorporate imagery into geospatial intelligence products Degree in computer science, geography, surveying, engineering or related field.
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Excellent technical credentials in various subfields relevant to AI (e.g., Data Science, Data Engineering, Machine Learning, Deep Learning, Generative AI, Computer Science). Familiarity with and ability to architect solutions using a broad range of AI techniques including (but not limited to) Data Science, Analytics, Autonomy/Autonomous Systems, Machine Learning, Deep Learning, Reinforcement Learning, NLP, and Generative AI/LLMs.
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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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data engineering jobs in Vienna, VA
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