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Senior Data Engineer, Cloud Operations Engineering

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology.
$136,000 - $264,500
Data
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud
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Description For Senior Data Engineer, Cloud Operations Engineering

NVIDIA, a global leader in accelerated computing and AI technology, is seeking a Senior Data Engineer to join their prestigious DGX Cloud team. This role presents an exciting opportunity to build and maintain the data infrastructure that powers operational excellence in NVIDIA's GPU fleet.

The position combines cutting-edge technology with practical business impact, requiring expertise in data pipeline development, warehouse architecture, and real-time analytics. You'll be working with state-of-the-art tools and technologies, including Apache Spark, Airflow, and various cloud platforms, while collaborating with engineering and operations teams to drive operational efficiency through data-driven insights.

As a Senior Data Engineer, you'll be responsible for architecting scalable data solutions, implementing robust data models, and creating seamless data access layers. The role requires a strong technical foundation with at least 5 years of industry experience and profound knowledge of data engineering principles. You'll be working with a diverse tech stack including Python, Java, Scala, and various database technologies.

NVIDIA offers a competitive compensation package with a base salary range of $136,000 to $264,500 USD, plus equity and comprehensive benefits. The company is committed to fostering diversity and inclusion, making it an ideal workplace for innovative minds from all backgrounds. Joining NVIDIA means being part of a team that's driving the future of AI and cloud computing, working on groundbreaking developments that transform science fiction into reality.

The role offers flexibility with remote work options and the opportunity to work on projects that directly impact the future of artificial intelligence and high-performance computing. If you're passionate about data engineering and want to be at the forefront of technological innovation, this position at NVIDIA offers the perfect blend of challenge, growth, and impact.

Last updated 3 months ago

Responsibilities For Senior Data Engineer, Cloud Operations Engineering

  • 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
  • Partner with engineering and operations teams to centralize telemetry
  • Monitor data freshness, identify bottlenecks, and propose automation
  • Provide expertise in reporting tools to design actionable dashboards
  • Mentor teams on data best practices

Requirements For Senior Data Engineer, Cloud Operations Engineering

Python
Java
Scala
PostgreSQL
Kafka
  • 5+ years of industry experience
  • Bachelor's or Master's degree or equivalent experience
  • 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
  • Familiarity with cloud storage and infrastructure
  • Deep knowledge of data modeling, schema design, and data warehousing
  • Expertise in using reporting systems like Power BI, Tableau, or Superset
  • Excellent debugging and problem-solving skills in complex, distributed environments

Benefits For Senior Data Engineer, Cloud Operations Engineering

Equity
  • Equity
  • Benefits Package