NVIDIA is seeking a Senior Data Engineer to enhance analytics-ready data platforms that support observability, reliability analysis, and capacity forecasting for EDA datacenters. The role involves transforming large-scale observability and telemetry data into reliable datasets for data scientists and engineers. The team collaborates closely with observability, infrastructure, and data science teams to ensure high-quality and accessible data. This position focuses on building and optimizing data pipelines for both near-real-time and historical analytics.

• MS or BS in Computer Science or equivalent experience with at least 10+ years of experience in designing and operating large-scale data pipelines.
• Proficiency in Python and SQL, with experience in analytical and exploratory workloads.
• Hands-on experience with distributed data processing frameworks such as Spark.
• Familiarity with observability and telemetry data, including metrics, logs, traces, and time-series data.
• Experience in designing data models and schemas that support flexible analysis and forecasting.
• Strong communication and collaboration skills, particularly with engineering and infrastructure teams.

• Design, build, and maintain analytics-focused data pipelines that ingest and curate observability data.
• Develop reliable ingestion pipelines for metrics, logs, traces, and hardware health telemetry.
• Partner with observability engineers to integrate data from various tools into unified analytical datasets.
• Model and organize data to support exploratory analysis, reliability modeling, and forecasting.
• Build and optimize batch and streaming workflows for analytics.
• Implement data quality checks, validation frameworks, and monitoring for analytical accuracy.
• Define data retention, aggregation, and enrichment strategies.
• Enable self-service analytics by improving data discoverability and usability.
• Collaborate with data scientists and analysts to evolve datasets for new models and insights.
• Continuously improve pipeline scalability, reliability, and performance.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.