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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.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good.
$75,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. 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.
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Work on an Agile development team to design, develop, test, implement, and support technical solutions using deep expertise in distributed microservices, big-data technologies (HIVE, Presto, Spark, Hadoop, etc.
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Familiarity with big data technologies such as Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop, or NoSQL databases is desirable. Collaborate with cross-functional teams, including data engineers, business stakeholders, and software developers, to drive data science initiatives and ensure successful project outcomes.
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This includes expanding the breadth and scope of the primary data collection offering, building new revenue-generating opportunities (e.g., strategic partnerships, novel methods of primary data collection, HTA facing evidence generation efforts, other) and collaborating across HEOR and adjacent business units with the intention of providing larger, cross functional, integrated HEOR offerings to clients.
$192,000 - $270,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Years of experience working with big data technologies ( Hadoop, Spark, Presto) Experience working with the following technology stack: Amazon Web Services (AWS), EMR Hive/Presto, ECS, Lambda, S, DevOps and CI/CD, Jenkins, CloudFormation Basic understanding of one or more scripting languages (Unix Shell, Python, Perl, etc.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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Function as a subject matter expert in multiple service areas of data security and operations – Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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Assist in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in house written python/java micro services running on Kubernetes.
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big data jobs Title: big data software engineer Company: Bayer in Bethesda, MD
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