The NVIDIA Operations organization is seeking an experienced technology professional for the position of Senior Data Engineer to support initiatives for Operations. As a 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 to turn data into business insights and results.
What you'll be doing:
Develop and implement End-to-End Data systems for Planning, Logistics and Services, and Sourcing initiatives. Design, deploy, and maintain AWS infrastructure (VPCs, IAM roles, S3, Lambda, Step Functions, Secrets Manager) following security guidelines
Build and maintain data pipelines using PySpark and Python to transport data from source systems to the data lake, and manage and deploy cloud infrastructure using Terraform and Infrastructure-as-Code (IaC) principles
Architect and administer Databricks workspaces including Unity Catalog, cluster policies, and workspace configurations, and implement security controls and access management across AWS and Databricks environments (IAM, RBAC, network security, encryption)
Automate infrastructure provisioning and configuration using Terraform with proper state management and modular design
Troubleshoot and resolve infrastructure issues across cloud environments, ensuring high availability and performance, and collaborate with security teams on compliance requirements, audit logging, and data governance policies
Lead discussions with collaborators and IT to identify and implement the right data strategy given data sources, data locations, and use cases
Provide operational support for ETL pipelines handling manufacturing test data and contract manufacturer (CM) datasets, and analyze and organize raw operational data including structured and unstructured data
Implement CI/CD pipelines with proper unit testing and software engineering guidelines, and support scalable multi-functional data lake solutions.
What we need to see:
Bachelor's degree in Computer Science or Information Systems, or equivalent experience
8+ years of relevant experience
Strong proficiency in Python, PySpark, and SQL
Experience with Terraform or similar IaC tools for managing AWS and Databricks resources
Solid understanding of software engineering principles: CI/CD, unit testing, code reviews
Experience architecting, designing, and maintaining data warehouses/data lakes for complex data ecosystems
Expert in data pipeline development including replication, streaming, API integration, and batch processing
Experience with Databricks and AWS (or similar cloud platforms)
Highly independent, able to lead key technical decisions and influence project roadmap
Strong analytical skills with attention to detail and accuracy and knowledge of supply chain business processes for planning, procurement, and logistics
Ways to stand out from the crowd:
Experience with contract manufacturing (CM) or ODM-related datasets
Master's degree in Computer Science or Information Systems, or equivalent experience
Experience with Airflow for file-level orchestration (download, upload, encryption, compression)
Familiarity with ODBC-based data ingestion and data modeling
Knowledge of operational processes in chips, boards, systems, and servers
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 - 270,250 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
