Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Senior Engineer, DGX Cloud Resilience Engineering - Data Platform
US, CA, Santa Clara
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingOwn and operate the data platform end to end, including ingest, transform and serve pipelines
Set and meet uptime, freshness and quality targets; lead incident response and root cause analysis
Define and report on SLIs/SLOs, pipeline latency and data completeness
Partner with customer teams to turn their data needs into platform capabilities and schemas
Set engineering standards, review designs and code, and mentor engineers
From the employer’s posting
Own and operate the data platform end to end, including the pipelines that ingest, transform, and serve operational data to leadership and partner teams.
Ensure the reliability of those pipelines by setting and meeting targets for uptime, data freshness, and quality, and by leading incident response, root cause analysis, and prevention work.
Define, instrument, and report on operational success metrics such as SLIs/SLOs, pipeline latency, and data completeness
Partner with customer teams to understand their data needs, translate those needs into platform capabilities and schemas
Provide technical leadership by setting engineering standards, reviewing designs and code, mentoring engineers, and driving the platform roadmap.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 55.
At Nvidia, jobs usually come down by about day 39.
From 13,214 similar postings that came down, and 100 of Nvidia’s. Coming down is not always a hire.
Nvidia is hiring
104 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Databricks
- Delta Lake
Where the posting names them
- Hands-on expertise in Databricks, including designing and leading schemas, tables, and access patterns using Delta Lake. - Strong Python skills, with experience building maintainable, well-tested, production-grade data code. - Solid understanding of medallion architecture and data modeling practices, with the judgment to apply them to balance data quality, performance, and usability.
- Confirmed experience owning and operating production data pipelines, with a track record of keeping them reliable, observable, and fresh. - Hands-on expertise in Databricks, including designing and leading schemas, tables, and access patterns using Delta Lake. - Strong Python skills, with experience building maintainable, well-tested, production-grade data code.
Your next step
Complete your application on nvidia.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Nvidia
- People
- About 42,000 in 2026, up 17% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as NVDA.
- H-1B visas
- 978 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Join a team of engineers at NVIDIA dedicated to building the operational data foundation that powers reliability and resiliency across the DGX Cloud program. Our team designs and operates the data platforms, pipelines, and schemas that enable engineering and leadership teams to measure, understand, and improve operational excellence at scale. As the DGX Cloud program grows, enabling teams to develop, deploy, and manage accelerated computing infrastructure is a top priority, and this team sits at the center of that mission.
What you’ll be doing:
- Own and operate the data platform end to end, including the pipelines that ingest, transform, and serve operational data to leadership and partner teams.
- Ensure the reliability of those pipelines by setting and meeting targets for uptime, data freshness, and quality, and by leading incident response, root cause analysis, and prevention work.
- Define, instrument, and report on operational success metrics such as SLIs/SLOs, pipeline latency, and data completeness, and use them to drive prioritization and continuous improvement.
- Partner with customer teams to understand their data needs, translate those needs into platform capabilities and schemas, and set clear expectations for support and delivery.
- Provide technical leadership by setting engineering standards, reviewing designs and code, mentoring engineers, and driving the platform roadmap.
What we need to see:
- 7+ years of experience in software technical leadership roles in an agile software development environment.
- BS in Computer Science, Engineering, or a related field, or equivalent experience.
- Confirmed experience owning and operating production data pipelines, with a track record of keeping them reliable, observable, and fresh.
- Hands-on expertise in Databricks, including designing and leading schemas, tables, and access patterns using Delta Lake.
- Strong Python skills, with experience building maintainable, well-tested, production-grade data code.
- Solid understanding of medallion architecture and data modeling practices, with the judgment to apply them to balance data quality, performance, and usability.
- Experience applying data lineage, retention, and access policies in production environments.
Ways to stand out from the crowd:
- Experience building data products and tooling that enables agentic workflows and analysis.
- Experience working with APIs for operational data including PagerDuty, Rootly, and Backstage.
#LI-Hybrid
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA 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.Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
US, CA, Santa Clara
- Experience working with APIs for operational data including PagerDuty, Rootly, and Backstage. #LI-Hybrid You will also be eligible for equity and benefits.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.