{"id":3185003,"url":"https://alion.io/job/nvidia-senior-data-engineer-eda-datacenter-analytics-and-observability","title":"Senior Data Engineer - EDA Datacenter Analytics and Observability","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":804,"ghost_share":0.024,"stale_share":0.729,"repost_share":0.044,"time_to_fill_p50_days":35,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","Westford, United States","Austin, United States","Hillsboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-23T23:16:54Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T03:57:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA’s Hardware Infrastructure organization is seeking a Senior Data Engineerto build and evolve analytics-ready data platformsthat power observability, reliability analysis, and capacity forecasting for EDA datacenters. In this role, you will focus on transforming large-scale observability and telemetry datainto trusted, well-modeled datasets that enable data scientists, analysts, and engineers to drive insights across global CPU and GPU compute clusters. We work closely with observability, infrastructure, and data science teams to ensure that data from EDA workloads and datacenter hardware is high quality, accessible, and optimized for analytical and predictive use cases.\nWhat You’ll Be Doing:\nDesign, build, and maintain analytics-focused data pipelinesthat ingest, transform, and curate observability data from EDA datacenters\n\nDevelop reliable ingestion pipelines for metrics, logs, traces, and hardware health telemetrygenerated by large-scale CPU and GPU clusters\n\nPartner with observability engineers to integrate data from tools such as Prometheus, Grafana, Elastic/OpenSearch, and Spark-based platformsinto unified analytical datasets\n\nModel and organize data to support exploratory analysis, reliability modeling, forecasting, and long-term trend analysis\n\nBuild and optimize batch and streaming workflowsthat support both near-real-time analytics and historical analysis\n\nImplement data quality checks, validation frameworks, and monitoringto ensure analytical accuracy and consistency\n\nDefine data retention, aggregation, and enrichment strategies that balance analysis needs, system performance, and storage costs\n\nEnable self-service analytics by improving data discoverability, documentation, and usability\n\nCollaborate with data scientists and analysts to understand analytical requirements and evolve datasets to support new models and insights\n\nContinuously improve pipeline scalability, reliability, and performance as datacenter footprint and workload complexity grow\n\nWhat We Need to See:\nMS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 10+ years of experience designing, building, and operating large-scale data pipelines and data platforms for distributed systems or infrastructure data\n\nProficiency in Python and SQL, with experience supporting analytical and exploratory workloads\n\nHands-on experience with distributed data processing frameworkssuch as Spark or similar technologies\n\nFamiliarity working with observability and telemetry data, including metrics, logs, traces, and time-series data\n\nExperience designing data models and schemasthat support flexible analysis and forecasting\n\nAbility to take ownership of data engineering initiatives and drive them end-to-end in collaboration with multi-functional partners\n\nExperience implementing data quality, validation, and monitoringfor analytics pipelines\n\nStrong communication and collaboration skills, particularly when collaborating with engineering and infrastructure teams\n\nAdaptability in fast paced environments with evolving analytical and operational needs\n\nWays to Stand Out from the Crowd:\nExperience supporting datacenter infrastructure analytics, hardware reliability programs, or workload performance analysis\n\nFamiliarity with EDA workflows, HPC environments, or GPU-accelerated compute platforms\n\nExperience integrating or operating observability stacks(Prometheus, Grafana, Elastic/OpenSearch, Kafka, Spark, or similar tools)\n\nBackground in large-scale distributed systems or data platforms\n\nA track record of improving analytics velocity and reliability through better data foundation #LI-Hybrid\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 27, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":4554,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-23T23:16:54Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-data-engineer-eda-datacenter-analytics-and-observability","json_url":"https://alion.io/job/nvidia-senior-data-engineer-eda-datacenter-analytics-and-observability.json","meta":{"generated_at":"2026-10-24T06:12:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8982,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-data-engineer-eda-datacenter-analytics-and-observability"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-data-engineer-eda-datacenter-analytics-and-observability"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-data-engineer-eda-datacenter-analytics-and-observability"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-data-engineer-eda-datacenter-analytics-and-observability\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-data-engineer-eda-datacenter-analytics-and-observability"}]}