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Bachelor's degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services, Azure Data Factory, Microsoft SQL Server Reporting Services, Data studio, Databricks and can work with a variety of languages and data formats such as parquet and json.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. Apply engineering principles, industry standards, company process, and knowledge of vehicle dynamics, aerodynamics, propulsion, classical/modern control, and estimation theory to perform tasks to advanced program/project goals.
$199,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BIG NIL Inc provides officially licensed print-on-demand apparel and merchandise products for student-athlete and school brands under the NIL. Through NIL policies, student-athletes may monetize their personal brand and endorsements while participating in sports.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Ensures that metadata and data standards and definitions will support both business and mission processes and system implementation approaches, and NSG/ASG requirements for sharing data.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Reporting consumption advanced analytics, data science and ML.Skill sets: Python, Spark, (PYSPARK) used APIs to integrate with variousservices, Google big data services, Cloud data proc, data store, BigQuery,cloud composer Google data services.
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You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
$109,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and document SCADA and PLC programs; configure hardware and software for desktop and server PCs. Design and integrate wired and wireless Ethernet and Serial data networks. Join a team that values safety, quality, and lasting client relationships across various industries, including renewables, data centers, oil and gas, food and beverage, manufacturing, chemical, and pharmaceutical fields.
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The role requires both broad and deep architecture, engineering and strategic experience with Microsoft Azure or comparable cloud technologies; specifically, deep technical expertise in cloud-native software defined networking, cloud security, cloud platforms, SRE practices, and Azure Infrastructure as Code modules; Azure Data services, Azure DevOps Repos and Pipelines; Azure Platform as a Service (PaaS); Azure Infrastructure as a Service (IaaS) and supporting technologies.
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Familiarity with big data technologies such as Apache Spark is a plus. The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics.
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience using data visualization tools; Tableau or Microsoft Power BI. Other miscellaneous IT budget planning data, as requested by the Sponsor. Support data call requests as directed.
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big data jobs Title: data project manager Company: Oracle in Reston, VA
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