Senior Data Engineer - Eda Datacenter Analytics And Observability

Invidia

Multiple Locations
Base: 184,000 usd - 287,500 usd for level 4, 224,0...
Large-scale data pipelines
Observability and telemetry data
Python and sql proficiency
NVIDIA’s Hardware Infrastructure organization is seeking a Senior Data Engineer to build and evolve analytics-ready data platforms that power observability, reliability analysis, and capacity forecasting for EDA datacenters

Job Summary

  • NVIDIA’s Hardware Infrastructure organization is seeking a Senior Data Engineer to build and evolve analytics-ready data platforms that power observability, reliability analysis, and capacity forecasting for EDA datacenters.
  • You will design, build, and maintain analytics-focused data pipelines that ingest, transform, and curate observability data from EDA datacenters while collaborating closely with observability, infrastructure, and data science teams.
  • The role offers a competitive base salary range with eligibility for equity and benefits, and NVIDIA is committed to fostering a diverse and inclusive work environment.

Matching Summary

NVIDIA’s Hardware Infrastructure organization is seeking a Senior Data Engineer to build and evolve analytics-ready data platforms that power observability, reliability analysis, and capacity forecasting for EDA datacenters.

Salary

Base: 184,000 USD - 287,500 USD for Level 4, 224,000 USD - 356,500 USD for Level 5; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • large-scale data pipelines
  • observability and telemetry data
  • Python and SQL proficiency
  • distributed data processing frameworks
  • data quality and validation
  • batch and streaming workflows

Nice-to-have

  • datacenter infrastructure analytics
  • hardware reliability programs
  • EDA workflows and HPC environments
  • observability stack integration
  • large-scale distributed systems
  • improving analytics velocity

Key Requirements

  • MS or BS in Computer Science or related field
  • 10+ years experience in data engineering
  • experience with Spark or similar technologies
  • strong communication and collaboration skills
  • experience with analytical and exploratory workloads

Work Rights

Not specified

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