Metrics Logs Traces Engineer Jobs

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Today

Senior Data Engineer - EDA Datacenter Analytics and Observability

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$184k - $357k/yr Full time Senior Analytics Big Data

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Job Description

NVIDIA is hiring a Senior Data Engineer to help build and evolve analytics-ready data platforms for observability, reliability analysis, and capacity forecasting in EDA datacenters. In this hybrid role based in Santa Clara, CA, you will turn large-scale telemetry into trusted, well-modeled datasets that support both analytical and predictive workloads.

What you will do

Design, build, and maintain analytics-focused data pipelines that ingest, transform, and curate observability data from EDA datacenters
Develop ingestion pipelines for metrics, logs, traces, and hardware health telemetry generated by large-scale CPU and GPU clusters
Partner with observability engineers to integrate data from Prometheus, Grafana, Elastic/OpenSearch, and Spark-based platforms into unified analytical datasets
Model and organize data to support exploratory analysis, reliability modeling, forecasting, and long-term trend analysis
Build and optimize batch and streaming workflows for near-real-time analytics and historical analysis
Implement data quality checks, validation frameworks, and monitoring to maintain analytical accuracy and consistency
Define data retention, aggregation, and enrichment strategies that balance analysis needs, system performance, and storage costs
Improve data discoverability, documentation, and usability to enable self-service analytics
Collaborate with data scientists and analysts to understand analytical requirements and evolve datasets for new models and insights
Improve pipeline scalability, reliability, and performance as datacenter footprint and workload complexity grow

Minimum requirements

MS (preferred) or BS in Computer Science (or equivalent experience) in a related field, with 10+ years of experience designing, building, and operating large-scale data pipelines and platforms for distributed systems or infrastructure data
Proficiency in Python and SQL, with experience supporting analytical and exploratory workloads
Hands-on experience with distributed data processing frameworks such as Spark or similar technologies
Familiarity with observability and telemetry data, including metrics, logs, traces, and time-series data
Experience designing data models and schemas that support flexible analysis and forecasting
Ability to take ownership of data engineering initiatives and drive them end-to-end in collaboration with multi-functional partners
Experience implementing data quality, validation, and monitoring for analytics pipelines
Strong communication and collaboration skills, especially when working with engineering and infrastructure teams
Adaptability in fast-paced environments with evolving analytical and operational needs

Technologies

Python, SQL, Spark
Prometheus, Grafana, Elastic/OpenSearch
Time-series data, metrics, logs, traces

Compensation

USD 184,000 - 356,500 per year.

Benefits

Equity and benefits

Ways to stand out

Experience supporting datacenter infrastructure analytics, hardware reliability programs, or workload performance analysis
Familiarity with EDA workflows, HPC environments, or GPU-accelerated compute platforms
Experience integrating or operating observability stacks (Prometheus, Grafana, Elastic/OpenSearch, Kafka, Spark, or similar tools)
Background in large-scale distributed systems or data platforms
A track record of improving analytics velocity and reliability through better data foundation

Location: Santa Clara, CA (hybrid) • #LI-Hybrid

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