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The Data Security Engineer is responsible for providing subject matter expertise to the Chief Data Officer (CDO) Directorate and to support senior level leadership within the Office of the Deputy Chief Information Officer, Special Access Program Information Technology (DCIO SAP–IT.
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Redhat Certified Systems Administrator(RHCSA)Redhat Certified Engineer ( RHCE)Amazon Solutions Architect certifiedRemedy, Symantec.,ServiceNow Nessus,VMware, Identity Management (ActiveDirectory.
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AWS DevOps Engineer, Solutions Architect, or SysOps Administrator. We are currently seeking a Data Scientist- SME to join our team. Demonstrated experience with geo-spatial software and programming packages and data formats.
$230,000 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our client has an immediate need for a Data Engineer with full stack developer experience and oracle database experience to help us maintain a system responsible for tracking and intelligence on worldwide arms transfers and the identification, tracing, and tracking of military material.
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The Splunk Engineer will install and maintain Splunk infrastructure, gatherrequirements from customers, onboard data, and assist end users with searches, dashboards, reports, and knowledgeobjects.
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Provide technical leadership for an engineering team implementing differing technologies to include; Azure and/or AWS Cloud, firewalls, web application firewalls, VPNs, DNS, Data Loss Prevention, IDS/IPS, and proxies, to name a few.
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Microsoft Certified: Azure Administrator Associate. " Ideally 5+ years of experience as a DevOps Engineer and 3+ years of experience designing and supporting Azure environments, Azure DevOps, including IaaS and PaaS.
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That’s why we need you, an electrical engineer with specialized electrical software and data experience, power system design, or medium and low voltage application engineering experience to help develop a new tool for the DoD to use to quantify its energy resilience.
$60,400 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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Our people have built some awesome software applications like the Amtrak mobile reservations app, data warehousing and analytics to name a few. Job Title: IT Engineer-ISD/IAM. Expert knowledge of data security practices and procedures, including systems analysis, authentication technologies, and access controls.
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As a Senior Data Engineer , you will u se cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions.
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Develop deployment automation and Azure pipelines for workload in Azure including (AKS, Azure Data Factory, Azure KeyVaults, etc.) Microsoft Certified: DevOps Engineer Expert. Experience in shell scripting, Python scripting and CI/CD tools such as Azure DevOps, design and implement continuous delivery pipelines that serve the purpose of provisioning non-prod and production environments.
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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer. 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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Strong conceptual understanding of ServiceNow’s relational database and data model. As the SailPoint/ServiceNow Integration Engineer, your primary focus will be interfacing with customers to transform Identity related requirements into fully functional cross-modular solutions based on ServiceNow and SailPoint platforms.
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Our Impact: The Corporate Data Warehouse (CDW) is a corporate data repository that makes accessible historical and current business relevant data from disparate data sources residing within Freddie Mac's transaction processing and end-user systems into one relational database for decision support, management reporting, ad-hoc and trend analysis, modeling, and data mining purposes.
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