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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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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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Support requirements officers in the development, review, editing and routing of correspondence, documents and publications of strategies and concept papers and/or briefs related to IAMD, evolving CID / Battle Management (BM) technologies: Big Data, AI, ML, Mission Planning, Battle Management Aids, FFT and IFF Mode 5 capabilities.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
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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. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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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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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. We need a data professional 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.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Develop training materials and conduct training sessions for internal and external developers on the benefits and implementation of CI/CD and IaC.Company Overview:Join a fast-growing company highly experienced in cyber security, cloud computing, virtualization, big data analytics, and project management.
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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.
$75,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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You are a Sales leader within the Federal Sales vertical with a proven track record of identifying and driving sales strategies in the pursuit of big bet deals within the Intelligence Agency community.
$132,000 - $180,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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4+ years of experience with designing, developing, implementing, and maintaining solutions for Big Data or data warehouse system. 1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Title: developer Company: Everest National Insurance Company in Chevy Chase, MD
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