This role pays more than
96%
of similar roles. Most pay
$139,406–$198,589
— the shaded band above.
At the midpoint, this role pays about
$261k
versus about
$169k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1048 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 834 roles with salary data.
As a Senior Data Engineer within the DGX Cloud organization, you will join the data team to build a reliable foundation for fleet health, capacity, and operational decision-making. You will serve as a technical lead responsible for the architecture, roadmap, and production results of major platform components like ingestion, orchestration, and data quality. Your daily work involves building data pipelines, defining stable data models, and developing shared platform capabilities to transform distributed infrastructure telemetry into dependable products. The role requires extensive experience with Python, SQL, Databricks, and Spark to manage large-scale data volumes. You will lead complex investigations across systems, mentor engineers, and ensure high standards for security and reliability. This position solves the critical challenge of managing massive GPU fleets across various cloud providers by providing actionable insights through well-modeled tables and automated tools.