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May assist the Machinery Systems Engineering Manager (SEM) and be selected in a similar role based on experience. Review and analysis of mechanical and electrical propulsion systems, and auxiliary/ piping systems for technical data packages developed to support design and construction of MSC and NAVY Program Vessels and other specialized Mission Systems.
$66,100 - $135,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
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Collect and interpret data from standard corrosion experiments (e.g. potential surveys, polarization scans, electrochemical impedance spectroscopy (EIS), etc. Experience with SEM fractography and other electron microscopy.
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The Splunk Engineer will install and maintain Splunk infrastructure, gatherrequirements from customers, onboard data, and assist end users with searches, dashboards, reports, and knowledgeobjects.
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Guidehouse does not accept unsolicited resumes from search firms or staffing agencies. Our team works with clients to provide a wide range of data analytics and data science services, including analyzing and organizing data, creating visualizations and dashboards, and using predictive analytics, machine learning, and artificial intelligence.
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To install and maintain Splunk infrastructure, gather requirements from customers, onboard data, and assist end users with search, dashboards, reports, and knowledge objects in support of the Compartmented Enterprise Services Office (CESO) NOC.
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The Smithsonian Institution’s Office of Advancement seeks a Data Engineer to serve as a key member of the Advancement Technology Services team as we transform our data management approach.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Search Engine Marketing (SEM) - Google Ads, Microsoft Ads, Amazon Search. Having been involved in the building (not as a coder, as a strategist) or been responsible for maintaining public-facing websites using a CMS (like WordPress or Drupal) or ecommerce platform (like Shopify, Demandware, Kaleo.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Experience in using various Azure data services, such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage. In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.
$124,000 - $187,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Engineer (SME) will support the Army Acquisition community’s program office for Foreign Military Sales – Army Case Execution System (FMS-ACES). To support this program, the Data Engineer (SME) will have extensive experience in leading and developing data products architecture, design) within the system/software development life cycle from requirements definition to architecture, design, implementation, and test, through deployment and operations, and support and preparing data for analytical and/or operational uses within a defined organization, function, and/or application context.
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Use internal data, OSINT, and third-party intelligence to search for undiscovered instances of abuse and offline risk. You will be tasked with mitigating risks associated to organized crime, human trafficking and other offline crimes using a combination of data analytics as well as investigative skills.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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