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AWS such as EC2, S3, RDS, DynamoDB, EMR and Glue. Big data technologies such as NoSQL, data processing, MapReduce, Hadoop, Apache Spark, PySpark. Requirements: Masters degree in computer information systems, computer science, or a closely related field combined with demonstrable ability in the skill/knowledge in the following areas: Database management system software such as MySQL, Oracle, or SQL Server, database administration, database design, backup, recovery and security, advanced data modeling, database performance/query tuning.
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Provide embedded GEOINT/ Data Science expertise to assure continuity of Precise Imagery data provision to the NSG. Provide the Precise Imagery Division (SFNP) with data science management and automation support.
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Bachelor's degree in archival science or bachelor's degree with a major that includes 18 semester hours in archival science, history and/or in political science or government, and 12 semester hours in one or any combination of the following: archival science, history, American civilization, economics, political science, public administration, or government.
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Experience with data science analytics capabilities, including creating big data SQL queries, scripting in Python, Pyspark, R, SAS, and cleaning unstructured datasets. Experience with conducting technical and data analysis and tracing cryptocurrency transactions through crypto and cyber data platforms.
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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Staying current on the latest developments in climate science and catastrophe risk modeling.
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Education: - Bachelor's degree in Business, Science, or related Radiological Science field; or Associate's degree or Graduate of an accredited school/program of Radiology or Nuclear Medicine with additional 2 years experience.
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Experience with relational databases (e.g., PostgreSQL, MySQL), document databases (e.g., Elasticsearch, Solr), or big data technologies (e.g., Hadoop, Hive, Spark). Work with relational databases like PostgreSQL (preferred) or MySQL, document databases such as Elasticsearch or Solr, or big data technologies like Hadoop, Hive, or Spark.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This role will be a member of the Data Analytics & Reporting team at NFFG. The team possesses a wide range of expertise ranging from data engineering, data governance, data science, data & analytics, model development, business intelligence, and internal management and reporting capabilities.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Dark Wolf Solutions is looking for a Senior Data Engineer to work near a Dark Wolf office in Herndon, VA with hybrid flexibility and presence at our site location in Fall Church, VA. The ideal candidate will have a strong background in computer science, experience working in Agile environments, and a deep understanding of DevOps practices.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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Have expert-level working experience (10 years or more) in data modeling, data analytics and/or data science field of work. Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
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The role requires hands on experience with AWS/Python for developing integrations/API s between ERP (Workday or Peoplesoft), Forecasting solution (Anaplan, Oracle, Workday Host analytics), Data lakes and Master data management (EDMCS.
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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Experience leveraging Esri's software capabilities including mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Located in the heart of Northern Virginia’s technology corridor, George Mason Engineering stands out for its research in many leading areas including artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, autonomous systems, 5G communications, systems architectures, computational biomedicine, community-based healthcare, advanced materials and manufacturing, sustainable infrastructure, and more.
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