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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. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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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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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team.
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Basic understanding of the Data Engineering and how it adds value to the organization. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of Defense.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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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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Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor.
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Program is named "Vanguard" and is an IT consolidation consisting of the Department's servers, mainframes, network devices, network perimeter, anti-virus engineering, public key infrastructure (PKI)/biometrics/encryption, monitoring tools, telephony, mobile computing platform, virtual environment, and enclave design/security engineering.
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Manage data scientist and engineering team and program strategy/roadmap for data storage and accessibility. Engineering life cycle activities will include detailed test design, planning, and execution, program data management, software DevOps, team leadership and project management.
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Master's degree in Remote Sensing, Photogrammetry, Image Science, Computer Science, Data Science, Engineering, Information Technology, Management Information Systems, Geographic Information Systems, Geography, or other related degree program.
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Experience with HBSS modules, including McAfee Agent (MA), Host Intrusion Prevention System (HIPS), Data Loss Prevention (DLP), Policy Auditor (PA), VirusScan Enterprise (VSE), Rogue System Detection (RSD), Asset Baseline Monitor (ABM), and Asset Configuration Compliance Module (ACCM.
$152,737 - $206,645 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Provide engineering and project management support to the government PM/COR of the NGA Airborne Exploitation Capabilities (AEC) contract from requirements statements to O&S support and Earned Value Management System (EVMS) review.
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Performs digital media analysis and malware reverse engineering on host, server, and network data as required to analyze and respond to an incident, including but not limited to volatile and non-volatile memory and/or system artifact collection and analysis.
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data engineering jobs in Fairfax, VA
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