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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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BSc with two years of industry experience or PhD in biopolymer science, biomaterial engineering, or chemistry, with a focus on biomaterials and biopolymer design, formulation, and physical characterization.
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We are seeking a talented and highly motivated engineer with a B.S. in Mechanical Engineering and 5+ years of plumbing and fire protection design experience in commercial, institutional, and healthcare facilities.
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Requirements: Bachelor's degree in Engineering, Technology, Computer Science, or closely related field, plus one year of professional experience building, stabilizing, validating, and monitoring statistical models to ensure that they meet the retail sector client guidelines.
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We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives. 5+ years of hands-on experience in Big Data engineering with a strong focus on Impala, Spark, Scala, Hive, Hadoop, and associated technologies.
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Since 1961, they have applied their extensive porous plastic material science, product design, and custom plastic manufacturing expertise to designing unique porous solutions that overcome complex project challenges and enable quicker product launches.
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Prior experience in a data operations or data engineering roles with experience working in a cloud-based data warehouse environment (Snowflake preferred) You will be the Manager, Data Operations of the Kinesso Audience – Data & Product team, you will oversee the day-to-day management of our Kinesso Audience Solutions (KAS) data warehouse and ensure its integrity, scalability, and efficiency in collaboration with the data engineering team.
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The Traffic Engineering department delivers a wide range of projects including traffic impact studies, traffic simulation and modeling, transportation planning, corridor and neighborhood studies, airport landside planning and engineering, data analytics, transportation management plans, traffic signal design, alternative analyses, planning for connected and autonomous vehicles, and traffic analyses to support master plans and large-scale highway projects.
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Projects include design and build outs of the physical plant within the typical WAN/LAN space within data centers, telco rooms, MDFs and IDFs as needed. UC-ISP/OSP engineer is responsible for cable management including structured cabling, carrier data and voice circuit cables/equipment, rack-and-stack, and oversight of power, backup power, network equipment, and environmental needs to cabinets.
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We seek an exceptional individual to join the engineering team as an Electrical Design Engineer III. The successful applicant must possess a background in electrical engineering, an analytical and creative mind, a willingness to work in a fast-paced production environment, and an outstanding work ethic.
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Responsible for full-cycle program/project management of key thermal components from engineering design to new product release, including collaboration with internal and external teams. Work with the engineering team to optimize the thermal performance of servers using empirical data and bench test methods.
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Our team collaborates multi-functionally across the DTC organization and partners with different business functions such as Data Science, Business Operations, Product, Marketing, Engineering, Finance, and more to generate insightful, compelling, and strategic analyses and recommendations.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Manager, Data Engineering. Manager, Data Engineering. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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6 to 8 years of IT experience and at least 4+ years in cloud native data engineering solution design/architecture and development. Ability to design and build data engineering tasks using Data bricks framework.
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We specialize in the design of low-vibration and low-noise buildings for the microelectronics, nanotechnology, imaging, and research communities, and are seen as a leader in this environment. Applicants should have a BS degree or higher in disciplines such as acoustics, civil/structural engineering, mechanical engineering, or physics, with a MS degree preferred.
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data science design engineering jobs Title: machine learning engineer in New York
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