NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.The NVIDIA Operations organization is seeking an expert technology professional for the position of Senior Data Engineering to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization. As a Data Engineering Developer in our team, you will be an integral part of the team in Operations building the Quality Platform which will turn data into information leading to insights and business results.What you’ll be doing:Implement End-to-End Quality Data platform solutions for our Datacenter products.Build data pipelines that are used to transport data from a data source to the data lake.Analyze and organize raw dataBuild data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementationInterpret trends and patterns by performing complex data analysisPrepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in placeBuild algorithms and prototypesDevelop analytical tools and programsCollaborate with data scientists and architects on projectsEvaluate business needs and objectives to ensure the organization can access the raw dataWhat we need to see:Bachelor’s or master's degree (or equivalent experience) in computer science or information system, or equivalent experience with programming knowledges (i.e Python, Java, etc)8+ years of experience in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration.Experience developing and maintaining data warehouses in big data solutions. Experience with several ecosystems like Azure, AWS, and Hadoop environments.You have built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. Knowledgeable in Databricks, Splunk, or Snowflake solutionsKnowledge of data analytics/mining and segmentation techniquesCommunicate effectively with business users and translate business needs into technology solutionsAbility to connect with all team members successfully and effectively.High energy with positive problem-solving attitude, and multi-task and strong organization skills.Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracyKnowledge in operational processes in semi-chips, boards, systems, and servers with a view of data landscape.Ways to stand out from the crowd:Strong ability to drive continuous improvement of systems and processes.Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.A proven ability to work in a fast-paced environment where strong organizational skills are essential.With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology leadership, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.