Senior Data Engineer – Operational Excellence, EDA Infrastructure

🔥 1 minute ago

🏄 California, North Carolina, +3 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as incident commander for high-severity incidents, coordinating responders across teams through mitigation and recovery • Build and maintain data pipelines collecting incident, alert, and change data into a clean, queryable source for reliability reporting • Run incident trend analysis to identify recurring failure patterns, regressions in TTD, TTM, and TTR, and services contributing most to customer impact • Turn trend findings into prioritized recommendations for engineering leadership and track corrective actions to completion • Strengthen operational excellence practices, including runbooks and on-call readiness • Run postmortem reviews and operational health forums, bringing incident data and driving clear ownership and follow-up

🎯 Requirements

• 5+ years of experience in data engineering, incident management, or a closely related engineering role • Bachelor's Degree or equivalent experience • Strong data engineering skills in SQL and Python • Experience building and maintaining pipelines that feed operational reporting • Proven ability to analyze incident trends and present findings used by leadership to prioritize reliability work • Hands-on experience with incident management platforms such as PagerDuty, Rootly, or ServiceNow • Experience with dashboarding tools such as Tableau, Grafana, or Databricks • Experience facilitating blameless postmortems or operational reviews and holding teams accountable for follow-up actions • Clear, calm communication during high-pressure incidents • Hands-on experience with AI tools for analysis, debugging, and documentation • Experience applying statistical or ML methods to operational data • Experience serving formally as an incident commander • Background building or contributing to internal reliability platforms • Experience operating in globally distributed, 24/7 environments with strict SLOs • Track record of running incident simulations or game days • Familiarity with distributed systems, cloud infrastructure, or GPU-based services • Experience using LLMs and prompt engineering

🏖️ Benefits

• Equity • Benefits

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