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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.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Big Data Platforms (Apache Spark, Presto, Amazon EMR) Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) As a Data Engineer for Slalom Build, you will work in small, collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Experience with Big Data and NoSQL technologies. Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, etc. Manages and influences the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading as well as initial exploration in the process of searching and finding data patterns.
$146,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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Customize and oversee integration tools, warehouses, databases, and analytical systems Advanced experience with databases design for big data, such as management of large data sets, and/or design and implementation of data stores to support analysis and scalable processing and storage for high frequency/high volume data pipelines.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Trellix Endpoint Security Suite (ESS) (or former McAfee HBSS, ePO, FireEye MVX, NX, HX, PX, IA, AX, IAS PCAP), Splunk/Cribl, or ForeScout experience. Experience with Gigamon, Ansible, Encase, Fidelis, Suricata, Varonis, or VMWare tools.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Implement enterprise-wide Symantec Data Loss Prevention (DLP) solutions Migrate DLP capabilities to Office 365 from third party channel DLP solutions. Manage a team of engineers in the deployment, integration, and configuration of Symantec DLP solution to protect sensitive data for high value assets and major infrastructure investments.
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HJF is seeking a Health Informatics Data Scientist to join the Office of the Chief Medical Officer for the Defense Intrepid Network reporting directly to the principal CMO. NICoE is a DoD institute dedicated to providing cutting-edge evaluation, treatment, and research for service members dealing with complex interactions of mild traumatic brain injury (mTBI) and psychological health (PH) conditions.
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An understanding of Master Data Management and Data Governance frameworks. Our client is looking for a talented Data Engineer who will assist in designing and implementing Business Intelligence (BI) and large-scale Data Analytics solutions for their customers.
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big data jobs Company: Addus Homecare in Silver Spring, MD
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