Senior Data Engineer, Cloud Operations Engineering

NVIDIA; United States; Remote; USD 136,000 - 265,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Engineer, where you'll design and implement scalable data pipelines that drive operational excellence. In this role, you'll collaborate with engineering teams to create data models and reporting systems that provide real-time insights into operations. You'll leverage your expertise in data tools and programming languages to enhance data accessibility and improve reporting accuracy. This is an exciting opportunity to contribute to groundbreaking technology in AI and cloud computing, making a significant impact in a dynamic and innovative environment.

Benefits

Equity

Comprehensive Benefits

Diverse Work Environment

Qualifications

• 5+ years of industry experience in data engineering roles.
• Proven expertise in building and optimizing data pipelines.

Responsibilities

• Architect and implement efficient data pipelines for operational telemetry.
• Develop robust data models and ensure consistent reporting.

Skills

Data Pipeline Optimization

Data Modeling

API Development

Debugging Skills

Cloud Infrastructure

Problem Solving

Education

Bachelor’s Degree

Master’s Degree

Tools

Apache Spark

Airflow

Kafka

Power BI

Tableau

Superset

Snowflake

BigQuery

PostgreSQL

Job description

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:

1. Architect and implement efficient data pipelines to ingest, transform, and store operational telemetry.
2. Develop robust data models, schemas, and warehouses to ensure consistent reporting and traceability.
3. Build APIs and query layers (e.g., GraphQL, REST) for seamless data access and integration across systems.
4. Partner with engineering and operations teams to centralize telemetry, improve reporting accuracy, and enhance visibility.
5. Monitor data freshness, identify bottlenecks, and propose automation to reduce manual toil.
6. Provide expertise in reporting tools (e.g., Power BI, Tableau, Superset) to design actionable dashboards.
7. Mentor teams on data best practices, driving insights and operational efficiency through intelligent data systems.

What We Need To See:

1. 5+ years of industry experience.
2. Bachelor’s or Master’s degree or equivalent experience.
3. Proven expertise in building and optimizing data pipelines using tools like Apache Spark, Airflow, or Kafka.
4. Proficiency in programming languages such as Python, Java, or Scala.
5. Strong experience with relational and NoSQL databases (e.g., Snowflake, BigQuery, PostgreSQL).
6. Familiarity with cloud storage and infrastructure (AWS S3, GCP BigQuery, Azure Data Lake).
7. Deep knowledge of data modeling, schema design, and data warehousing for high-scale systems.
8. Expertise in using reporting systems like Power BI, Tableau, or Superset, and guiding teams to derive actionable insights.
9. Excellent debugging and problem-solving skills in complex, distributed environments.

Ways to Stand Out from the Crowd:

1. Experience building real-time telemetry pipelines and integrating data into operational workflows.
2. A proven track record of driving standardization and governance in data systems.
3. 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 groundbreaking 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 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.