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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. Concurrent Technologies Corporation is seeking a full-time Data Engineer in the Northern Virginia area to join our team.
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Experience engineering Cyber Security solutions using structured and unstructured Big Data. Experience engineering Cyber Security solutions using Automation, Augmentation and Artificial Intelligence technologies.
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j. As a Software Engineer at NGA, you will have the opportunity to work directly with stakeholders and Data Analysts to develop new and enhanced capabilities that help analysts achieve mission success.
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Advanced skills in big data technologies (Hadoop, Spark, etc. Summary The Senior Data Engineer will lead the design and implementation of robust data solutions. Job Requirements Education Required: Bachelor’s degree in Management Information Systems, Computer Science, Data & Analytics other quantitative discipline or 8 years experience Experience Required: 5-8 years of relevant experience.
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Data Processing and Infrastructure: Lead initiatives involving big data technologies such as Spark, DeltaLake, and HDFS to handle large-scale data processing and analytics.
$219,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Perform software development, testing, and deployment of specialized tools used for big data analytics and other projects as assigned related to: Cyber Threat Intelligence, Detection & Identification Platforms, Enterprise Tactical Operations Tools, and Case Tracking Tools.
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You will support the National Geospatial-Intelligence Agency (NGA) to process ETL on new and varied data sets, and work with Big Data at scale, using Spark/PySpark to handle petabytes of data.
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We specialize in migrating custom developed and COTS applications into AWS and offering a complete suite of managed service solutions for our customers to include design, architecture, DevOps, systems administration, big data, security, and 24x7 cloud support services.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Azure ‘big data’ technologies.
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Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Machine Learning Engineer II. Are you fascinated by data, machine learning techniques, and software systems engineering.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer). Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
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Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query) Bachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.
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Proficiency in engineering solutions using Cloud Technology, Big Data, Automation, Augmentation, and Artificial Intelligence technologies is highly desired. We are searching for an Expert Systems Engineer to lead the charge in integrating NGA's security framework using the seven key principles of Zero Trust.
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Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or related field with a minimum of 2 + years’ experience in Data Engineer or ETL Engineer role or an equivalent combination of education and experience.
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big data engineer jobs in Springfield, HI, Hawaii
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