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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Utilize state of the art technologies such as host forensics tools (FTK/Encase), Endpoint Detection & Response tools (MDE/Trellix), log analysis (Splunk), SIEM (Elastic/XSOAR) and network forensics (full packet capture solution) to perform hunt and investigative activity to examine endpoint and network-based data.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, networks, science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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B.S. in Software Engineering, Computer Science, Graphics or Game Design, or applicable engineering or science field. Design, develop, and distribute simulation code for memory efficiency and speed using various data structures, operations, and libraries.
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Key support activities include Program/Project Management, Network Engineering, Data Visualization, Cloud Engineering, System/Program Administration, Operations Research/Systems Analysis, Data Platform Analysis, System Evaluation, Test/Data Engineering, Full Stack/System/DevOps Engineering, System Engineering, and Distributed Processing, and Exploitation and Dissemination - Converged Infrastructure (DPED-CI.
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As the Cloud Information Systems Security Specialist you will apply architectural and software engineering expertise to lead in the planning, design, delivery, and validation of an Oracle EBS ERP shared-service solution.
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Analyze engineering, logistics, budget, programmatic, and operations information and data in relation to program objectives, budgetary constraints, schedules and technical requirements to present project status, program accomplishments, long-term plans, and recommendations for PM FPS systems to meet life cycle performance requirements.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Candidates will work in the following area: The Power Division Tactical Power Engineering Capabilities (TPEC) Branch provides technical engineering and data management support to various power and power distribution programs within the Project Manager Expeditionary Energy and Sustainment Systems (PM E2S2) portfolio.
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7+ years of experience in information systems, system administration, data engineering or network engineering. Experience working with a cloud provider (AWS/Azure/Google Cloud) or in-house data centers.
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Insider Threat Engineering Specialists implement NGA’s Scaled Agile Framework for the Enterprise (SAFe) to develop, integrate, operate, and sustain specialized Insider Threat Office Information Technology (IT) in accordance to Executive Order ( 13587, the White House Memorandum on National Insider Threat Policy and Minimum Standards for Executive Branch Insider Threat Programs and the National Insider Threat Task Force (NITTF) Guide.
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The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools.
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BS degree with 10 years data engineering experience. Leveraging both in-domain and cross-domain expertise to maximize our clients’ success, SLA Division acts as trusted agents to senior decision-makers and key leaders and excels at providing data driven analytic insights, systems engineering, strategies and plans that address current and emerging challenges to national security.
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Lawelawe Technology Services ("LTech") is an SBA Certified 8(a) Native Hawaiian Owned (NHO) SDB. Lawelawe Technology Services provides first-class IT solutions with expertise in application development, health IT, infrastructure management (IM), cyber security, and systems design and engineering.
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data engineering jobs in Fort Belvoir, Sanford, Maine
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