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NVIDIA

Senior Data Engineer, Cloud Operations Engineering

Sorry, this job was removed Sorry, this job was removed at 03:08 p.m. (PST) on Thursday, May 08, 2025
Remote
3 Locations
Remote
3 Locations

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NVIDIA is widely recognized as one of the most desirable employers, with some of the most dedicated people in the world working for us. If you're passionate about designing data platforms and pipelines to support scalable cloud operations, we invite you to join our team. We are looking for a Senior Data Engineer to join our DGX Cloud team and build the data infrastructure that powers operational excellence. You will design scalable data pipelines, architect data analysis & reporting systems, and create data models that enable real-time insights for NVIDIA’s GPU fleet.

What You'll Be Doing:

  • Architect and implement efficient data pipelines to ingest, transform, and store operational telemetry.

  • Develop robust data models, schemas, and warehouses to ensure consistent reporting and traceability.

  • Build APIs and query layers (e.g., GraphQL, REST) for seamless data access and integration across systems.

  • Partner with engineering and operations teams to centralize telemetry, improve reporting accuracy, and enhance visibility.

  • Monitor data freshness, identify bottlenecks, and propose automation to reduce manual toil.

  • Provide expertise in reporting tools (e.g., Power BI, Tableau, Superset) to design actionable dashboards.

  • Mentor teams on data best practices, driving insights and operational efficiency through intelligent data systems.

What We Need To See:

  • 5+ years of industry experience.

  • Bachelor’s or Master’s degree or equivalent experience.

  • Proven expertise in building and optimizing data pipelines using tools like Apache Spark, Airflow, or Kafka.

  • Proficiency in programming languages such as Python, Java, or Scala.

  • Strong experience with relational and NoSQL databases (e.g., Snowflake, BigQuery, PostgreSQL).

  • Familiarity with cloud storage and infrastructure (AWS S3, GCP BigQuery, Azure Data Lake).

  • Deep knowledge of data modeling, schema design, and data warehousing for high-scale systems.

  • Expertise in using reporting systems like Power BI, Tableau, or Superset, and guiding teams to derive actionable insights.

  • Excellent debugging and problem-solving skills in complex, distributed environments.

Ways to Stand Out from the Crowd:

  • Experience building real-time telemetry pipelines and integrating data into operational workflows.

  • A proven track record of driving standardization and governance in data systems.

  • Familiarity with workflow orchestration tools and their integration into broader business processes.

NVIDIA is committed to creating an environment where diverse perspectives drive innovation. As part of the DGX Cloud team, you’ll work on ground breaking technology that powers the future of AI and cloud computing. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. 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 great people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
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