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Parsons is seeking for Expert-level Systems Engineers to assist in leading engineering teams in taking a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies to ensure timely and accurate GEOINT.
$113,100 - $245,200 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Certifications in Security+, Network+, GISF, GSEC, CISSP, CCSP, or GPEN, Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area and 2 years’ experience leading information security or cybersecurity projects.
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Candidates should have a functional understanding of a subset of the following technical skills: AI/ML Computer Vision, power systems, structural engineering, wireless networking, sensing technologies such as electro-optical, thermal, fiber optics, radio frequency, LIDAR, and computing systems, large scale systems design, data engineering, information and cyber security, and C2 systems.
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Job OverviewThe Detection Engineering Sr. Engineer is responsible for continually improving T-Mobile’s detection capabilities. Licenses and Certifications:Certified Information Systems Security Professional (CISSP) CISSP and/or CCSK and/or CCSP and/or CISA/CISM certification a plus (Preferred)Certified Information Security Manager (CISM) (Preferred)Certified Information Systems Auditor (CISA) (Preferred.
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C# Strong oral and written communication skills Desired Qualifications MS or higher degree in Engineering, Science, Imagery Analysis, or related STEM degree Experience in the SAR discipline of GEOINT analytic tradecraft designing and testing algorithm performance Experience working in the DoD/IC Previous NGA and/or NSG/ASG program/project work experience Security Clearance Requirement Active TS/SCI KBR is an equal opportunity employer.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Must have: 6 years of experience in data engineering Experience with Extract, Transform and Load (ETL) tools and processes Experience with Python Bash / shell scripting Linux Familiarity with different data types & formats, including text, audio, imagery, video, binary and geopspatial.
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Strong technical design background in traffic engineering, highway design, and highway drainage, as well as familiarity with AASHTO, FHWA and MUTCD standards. #MidAtlanticBIA Here's what you'll need: Bachelor degree in civil engineering.
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Eight or more years of data engineering experience with strong T-SQL development, including definition of ER models and star schemas for transactional and data warehouse environments, ETL processing for both full and incremental loads, stored procedure coding, data migrations, and performance optimization.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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They will lead reporting in coordination with other cyber experts and thought leaders and work with engineering teams to ensure full integration with hybrid cloud platform management layer, identity management, and R&D infrastructure.
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The DevSecOps Engineer applies their skill to research, develop, engineer, prototype, test and accomplish systems integration for counter-unmanned aircraft system (C-UAS) in a model-based systems engineering (MBSE) environment supporting the TENCAP E3I mission.
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Founded in 1988, Engineering Consulting Services (ECS) is a leader in geotechnical, construction materials, environmental, and facilities engineering. Provided training: ECS will train candidates in our methodology to perform observations, inspections, and tests of building construction projects related to your position and to document findings in accordance with accepted engineering practice, but you should have a sound understanding of building construction practices.
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Automate data ingestion, feature engineering, model training, and evaluation processes using tools like Apache Airflow, Kubeflow, or MLflow. The ideal candidate will have a strong background in machine learning, software engineering, and DevOps practices, along with experience in deploying and managing ML models in production environments.
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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, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Master’s degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
engineering job Title: structural engineer Company: Kiewit Corporation in Chantilly, VA
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