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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.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. 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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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Proficiency in Amazon Web Services (AWS) environment and tools such as SMS, Data Pipeline, and Relational Database (RDS.
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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. C-Star Solutions is searching for a data scientist to support research and development efforts at National Geospatial-Intelligence Agency (NGA.
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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The Guidehouse Team supports the OSE Data Governance Division by performing data quality, data metrics, data sharing, data governance, and data analysis initiatives as well as configuring and performing operations & maintenance on a COTS data governance tool.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with military sea-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, and weapons data.
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Windows, System administrator, Azure, STIG, Windows administration, RMF, Server 2016, Server 2008 R2, Big IP - F5, IIS, Active Directory, Devops, Devsecops, Aws, Security, Cloud, Kubernetes, Docker.
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Proven experience in data engineering roles with a focus on Snowflake, AWSservices, Python, and DBT.- Strong analytical and problem-solving skills. Responsibilities: - Design, develop,and maintain data pipelines and ETL processes using Snowflake, AWS services,Python, and DBT.- Collaborate with data scientists and analysts to understand data requirementsand implement solutions.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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big data jobs Title: hadoop Company: At T in Vienna, VA
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