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The NVIDIA Operations organization is seeking an experienced technology professional for the position of Senior Analytics Data Engineer to support initiatives for Operations. As an Analytics Data Engineer on our team, you will be an integral part of the Data and Advanced Analytics organization in Operations that is building the Operations Data Platform and developing key advanced analytics solutions to turn data into business insights and results.

What you'll be doing:

+ Develop and implement the business logic in the new End-to-End Data systems for our Planning, Logistics, Services, and Sourcing initiatives.

+ Lead discussions with Operations stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases.

+ Analyze and organize raw operational data including structured and unstructured data. Implement data validation checks to track and improve data completeness and data integrity.

+ Build data systems and data pipelines to transport data from a data source to the data lake ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation.

+ Prepare data for AI/ML/LLM models by making sure that the data is complete, has been cleansed, and has the necessary rules in place.

+ Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

+ Build data and analytic solutions for key initiatives to set up manufacturing plants in US.

+ Support key strategic initiatives like building scalable cross-functional datalake solutions.

What we need to see:

+ Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

+ 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

+ Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

+ Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

+ Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

+ Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using Databricks, AWS, Azure, SQL or other technologies

+ Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy

+ Knowledge of supply chain business processes for planning, procurement, shipping, and returns of chips, boards, systems, and networking.

Ways to stand out from the crowd:

+ Self-starter, collaborative, positive mindset, committed to growth with integrity and accountability, highly motivated, driven, and high-reaching

+ Solid ability to drive continuous improvement of systems and processes

+ A consistent record to work in a fast-paced environment where good interpersonal skills are crucial

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, 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 (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until November 18, 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.