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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Proficiency in data engineering concepts, tools, and technologies, with hands-on experience with Databricks or similar platforms.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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As a Capital One Sr. Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of Defense.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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UES is a nationwide leader in Geotechnical Engineering, Construction Materials Testing and Inspection, Building Code Compliance, Environmental, Occupational Health & Safety, and Building Envelope.
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As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Strong understanding of civil engineering principles, roadway design standards, and traffic engineering principles. Select appropriate materials and prepare engineering specifications for road construction and maintenance projects.
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Lead the design and modeling of data repositories in ServiceNow for enterprise reporting and analytics, enhancing data accessibility and insight generation. Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. We are seeking a dynamic and innovative Corporate Counsel, Data Management to oversee enterprise-wide data management programs and help ensure compliance with a broad variety of data management and security commitments.
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5+ years of experience in data engineering, data infrastructure, engineering management or a similar role. Engineering Manager - Data Operations. As the Engineering Manager, Data Ops, you will be responsible for managing and optimizing the data infrastructure that supports the organization’s data pipelines, ETL processes, and integrations.
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These can include cloud infrastructure, AI/ML applications, geospatial analytic tools, data analytics platforms, large-scale data systems, multilingual translation tools, additive manufacturing tools, autonomous platforms, supply chain solutions, cybersecurity solutions, cryptocurrency, computer vision, SaaS products, wireless communications, RF systems, microelectronics, materials science, space systems, and biotechnology.
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Demonstrated experience engineering scalable multi-threaded web-based data applications to meet high-availability requirement. ● Education: Bachelor's degree in Computer Science, Information Technology (IT), Computer Engineering, or related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
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Meet or exceed quarterly new business sales targets, focusing on closing opportunities related to core service offerings at Lovelytics, such as machine learning, business intelligence, and data engineering.
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Deep technical expertise in one or more microgrid technology areas, including: controls algorithms, supervisory control and data acquisition (SCADA), network communications, power systems engineering, power electronics, energy management, energy efficiency, power generation, distributed energy resources, renewables integration, and/or energy storage.
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data engineering sales jobs Company: Servicenow in Vienna, VA
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