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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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of DevSecOps. 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: Distributed Computing: Tools like Apache Spark, Hadoop. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala.
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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Develop Data Governance Tactics, Techniques and Policies (TTPs) to ensure that CCI EMSO remains ahead of Big Data demand and projects chartered by OUSD (I&S) that support Data Engineering and Science initiatives.
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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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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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Experience with Big Data technologies (Spark, MongoDB, Hadoop) This is a major system and is supported by an inter-disciplinary set of teams providing full lifecycle software development, cloud, data and systems engineering.
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Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success.
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Data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Evolve AWS cloud solutions with a specific focus on data services such as S3, RDS, and EMR.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Bachelor’s Degree and 8+ years working in and/or auditing IT security areas such as penetration testing, operations, threat intelligence, monitoring, vulnerability management, identity access management, Keys and Certificate Management or security engineering in large enterprises.
$138,000 - $206,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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big data engineering jobs in Fairfax, VA
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