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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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Work tasks may involve the development, management and/or oversight collection of data, alternative analysis evaluation for engineering reports, horizontal and vertical alignments, cross section and superelevation design, roadside barrier design, ADA curb ramp design, roadway modeling, roadway plans, erosion and sediment control plans, stormwater management plans, right-of-way plans, utility relocation plans, permit application drawings, and traffic control plans.
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Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
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The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Prepares, installs and sets up test vehicle, analyzers, dyno, data acquisition and other equipment. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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The role elevates data quality across the MVW Enterprise and expand the value of business data to drive growth with a focus on the following areas of work: enterprise data strategy and governance, data platform architecture, data engineering leadership, collaboration and alignment, and innovation and continuous improvement.
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Synthesizing and extracting insights from structured and unstructured data using statistics and machine learning to determine the disposition of products and systems that do not meet required specifications.
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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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Work with the engineering team to optimize the thermal performance of servers using empirical data and bench test methods. The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software.
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PhD in Cell Biology, Regenerative Medicine, Tissue Engineering, Biomedical Engineering or related field. Develop and optimize protocols for cell culture, differentiation and tissue engineering.
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Knowledge of cloud computing platforms, particularly for data engineering and analytics (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving abilities for addressing complex data engineering challenges.
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Provide SME across data management domains, such as data governance, data strategy, data architecture, metadata management, data requirements, data engineering, data quality, and data integration.
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Data Engineering & Analytics Lead Are you a skilled, experienced Data Engineering & Analytics professional seeking a leadership position in the healthcare industry? If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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data engineering jobs Title: machine learning engineer Company: Advantis Global
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