Senior Data Engineer – Developer Programs

The NVIDIA Developer Program connects millions of developers, researchers, and data scientists worldwide with the SDKs, training materials, and resources they need to develop GPU-accelerated applications that are changing the world. This dynamic and rapidly growing community of developers is applying their passion to develop a wide range of applications and services using the latest accelerated computing technologies. Key areas of application development include Deep Learning/AI, Autonomous Vehicles, Robotics, Design & Visualization, VR/AR, Ray Tracing, and advanced technologies changing the face of PC Gaming.

NVIDIA is now looking for a data engineer to design and build ETL pipelines and data products that help us better understand how we can serve the diverse needs of our developer community. In this role, you will work with product development, program management, and analytics & insights teams to understand their business requirements and deliver solutions that reveal insights to product owners and executives across the company. You will be aggregating and integrating data from multiple sources to track SDK downloads and other activities, which will help us understand what developers need and improve our developer programs.

What you’ll be doing:

• Designing, implementing, testing, and maintaining data management systems involving large data sets collected from content delivery networks (CDNs), and other sources (e.g. GitHub)

• Building data processing applications with core design principles of scalability, maintainability, security, and coding best practices

• Developing and implementing best practices for building data products, including data mining, data modeling, and access interfaces (e.g. SQL views, API services, etc)

• Implementing company-wide data policies to protect Personally Identifiable Information (PII) data

• Designing and implementing comprehensive error handling, fault tolerance, and monitoring/alerting systems

• Developing automated test routines that perform unit, functional, and system testing

• Working directly with data analysts and product marketing leads to diagnose and resolve issues that arise in day-to-day data operations

What we need to see:

• BS degree in Computer Science, or equivalent experience

• 7+ years experience in data engineering/analytics using SQL, Python, regular expressions

• Experience working on 3rd-party integrations, including REST API integrations and ETL standard processes

• Familiarity with source code repository workflows, including CI/CD pipelines

• Experience working with Amazon Web Services (AWS), particularly AWS Lambda

• Strong analytical, problem solving, and interpersonal skills

Ways to stand out from the crowd:

• Experience with Spark SQL and Databricks

• Experience working with Salesforce APIs and data

• Skilled in containerizing applications using Docker for scalable and efficient deployments

• Experience with Ruby on Rails and/or Discourse

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

#LI-Hybrid

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 for Level 4, and 200,000 USD - 322,000 USD for Level 5.Applications for this job will be accepted at least until September 22, 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.