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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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QinetiQ is looking to hire a Chief Engineer to lead the development of new technologies aimed at advancing the capabilities of airborne C5ISR sensor systems. Field and flight testing, data collect, mission coordination and direction.
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Experience creating and maintaining Software Defined Networks (SDN) Active Secret Clearance Desired Experience with Palantir Certification in one or more of the following: Cisco CCNA, CCNP, CCIE, CompTIA Network+ Analytical mindset – data-driven and able to problem solve, particularly in the use of platform metadata or logging data to diagnose issues raised by platform users in relation to system functionality, or data pipelines.
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Experience with digital cartography, image processing, computer technology, GIS software, geospatial production techniques, remote sensing, and photogrammetry. Apply remote sensing principles and methods to analyze data and solve geospatial intelligence tasking, collecting, processing, exploitation, and dissemination problems.
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Image processing and analysis with satellite imagery including spectral (MSI, HSI) radar or Lidar and EOIR. Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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As a Cloud Engineer you will contribute to the capability and provide SME-level input on technologies such as: Docker, Kubernetes, PowerShell DSC, Ansible, Azure Automation, or other related products in support of the software development life cycle (SDLC.
$97,300 - $196,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applications.
$96,400 - $168,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Engineer will be part of a data analytics team supporting a large Intelligence Community Agency with data process improvement, data management, and creating performance metrics and business intelligence for business optimization.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery; writing Python Scripts in ARCGIS to improve efficiency of the production process; Data Conversion/migration.
$48,100 - $86,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with JMeterand, Jenkins, Docker, Postman, Swagger, Nexus, Apigee or GitHub/GitLab (or equivalent software packages), Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, and AWS and C2S. Working knowledge of Model-Based Systems Engineering, processes, tools and languages.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats Ability to utilize geographic names information from the GNDB. Ability to analyze imagery and non-imagery source information for application to NGA hydrographic products and databases.
$60,000 - $65,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP. 3+ years of relevant experience with a bachelor’s degree.
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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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software engineer data processing jobs Title: engineer in Lorton, VA
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