NVIDIA

Senior Data Engineer, Data Science Platform

NVIDIA

Santa Clara, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At NVIDIA, we are seeking a highly skilled and driven Senior Data Engineer to join our Data Science Platform team. As a global leader in the technology industry, we are dedicated to pushing the boundaries of what is possible and revolutionizing the way data is processed and utilized. In this role, you will have the opportunity to work on cutting-edge projects and collaborate with a team of talented individuals in a fast-paced and dynamic environment. If you are passionate about data engineering and have a strong background in developing scalable and efficient data solutions, we encourage you to apply for this exciting opportunity. Join us at NVIDIA and help shape the future of data science!

  1. Design and develop data pipelines to support the processing and analysis of large and complex datasets.
  2. Collaborate with data scientists and other cross-functional teams to identify and understand data needs and requirements.
  3. Implement data models and structures to ensure efficient and accurate data storage and retrieval.
  4. Monitor and optimize data performance and processes to ensure scalability and reliability.
  5. Develop and maintain data quality standards and processes to ensure the integrity and accuracy of data.
  6. Stay up-to-date with industry trends and advancements in data engineering to identify new opportunities for innovation and improvement.
  7. Troubleshoot and resolve data-related issues in a timely manner.
  8. Mentor and provide technical guidance to junior data engineers.
  9. Communicate and present complex technical concepts and solutions to non-technical stakeholders.
  10. Collaborate with IT and infrastructure teams to ensure effective data storage and management.
  11. Work with cloud-based technologies and tools to support data engineering processes.
  12. Continuously evaluate and improve data engineering processes and workflows.
  13. Adhere to data privacy and security policies and procedures.
  14. Participate in code reviews and provide constructive feedback.
  15. Contribute to the overall data engineering strategy and roadmap for the organization.
Where is this job?
This job is located at Santa Clara, CA, USA
Job Qualifications
  • Extensive Knowledge And Experience In Data Engineering: The Ideal Candidate Should Have A Strong Background In Data Engineering, Including Experience With Big Data Technologies, Data Warehousing, And Data Pipelines. They Should Have A Deep Understanding Of Data Structures And Algorithms, As Well As Proficiency In Languages Such As Sql, Python, And Java.

  • Expertise In Machine Learning And Data Science: A Senior Data Engineer At Nvidia Should Have A Solid Understanding Of Machine Learning And Data Science Concepts, With The Ability To Apply Them To Real-World Problems. They Should Be Familiar With Popular Libraries And Frameworks Such As Tensorflow, Pytorch, And Scikit-Learn.

  • Strong Technical And Analytical Skills: The Role Requires A Candidate With Exceptional Technical And Analytical Skills, Including The Ability To Design And Implement Complex Data Systems And Algorithms. They Should Also Have A Keen Eye For Detail And Be Able To Troubleshoot And Resolve Issues Quickly And Efficiently.

  • Experience With Cloud Computing: Nvidia Is A Leader In The Field Of Cloud Computing, And The Ideal Candidate Should Have Experience Working With Cloud-Based Data Platforms Such As Aws, Azure, Or Google Cloud. They Should Be Able To Design And Implement Scalable And Reliable Data Solutions On These Platforms.

  • Leadership And Communication Skills: As A Senior Data Engineer, The Candidate Will Be Expected To Lead And Mentor A Team Of Data Engineers And Data Scientists. They Should Have Excellent Communication Skills And Be Able To Collaborate Effectively With Cross-Functional Teams. They Should Also Have A Strong Track Record Of Delivering Results And Meeting Project Deadlines.

Required Skills
  • Database Management

  • Data Modeling

  • Machine Learning

  • Data warehousing

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • ETL processes

  • Data governance

  • Data Pipelines

  • Big Data Analytics

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Data Engineer, Data Science Platform in Santa Clara, CA, USA is $140,000 to $180,000 per year. This salary range can vary depending on the company, level of experience, and specific job responsibilities. Some companies may offer additional benefits such as bonuses, stock options, and other perks that could increase the overall compensation package.

Additional Information
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedMarch 25th, 2024
Apply BeforeFebruary 4th, 2025
This job posting is from a verified source. 
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About NVIDIA

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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