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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. We need a big data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
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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.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Innovative Data Solutions (IDS) is a small business specializing in engineering and supporting mission critical IT infrastructure for the US Government Intelligence, Defense and Homeland Security communities.
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Required Skills and Qualifications: The client is looking for an engineering of data platforms for Enterprise Big Data, Business Intelligence (BI), and Transformation - (DBMS, ETL, Data Warehouse, Reports, Data views.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Experience with Big Data and NoSQL technologies.
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1 years of experience in Databricks for Data Engineering or Machine Learning projects. 4 years’ experience in SQL, setting up Data Engineering, ETL pipelines and troubleshooting data load issues.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Proficiency in data engineering concepts, tools, and technologies, with hands-on experience with Databricks or similar platforms.
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Lead Get Well’s strategic direction and vision for data science, business analytics, and data engineering functions, building partnerships with stakeholders across Product, Sales, Marketing, Client Success and Engineering.
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Review project plans, Construction Security Plans, construction blueprints, architectural drawings, and technical data to determine compliance with relevant Department of State (DoS) and Intelligence Community (IC) standards.
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Experience reviewing project plans, construction Security Plans, architectural drawings, and/or technical data to determine compliance with applicable laws and regulations. Respond to Requests for Information, providing engineering/architectural insight on potential technical security vulnerabilities including electrical power systems and red/black isolation.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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big data engineering jobs Company: Amazon Web Services Aws in Washington, DC
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