Supply Chain Data Engineer at NVIDIA Corporation
Santa Clara, CA
$152,000–$287,500from the description
Jul 9, 2026
Santa Clara, CA
Jul 20, 2026
What this job asks for AI summary
A data engineering role focused on supply chain infrastructure, responsible for building and maintaining automated ETL/ELT pipelines that process semiconductor and hardware component datasets. The work centers on data quality, schema design, and feeding downstream planning and machine learning systems. It suits an experienced data engineer with deep SQL and Python expertise who has operated independently in production pipeline environments.
Senior level · 7+ years · Santa Clara, CA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 25 people in the Santa Clara, CA area plausibly meet what this posting asks for (database architects). range 10–50
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $202,313 (middle half $144,101–$222,457). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role spans two posted salary bands: Level 4 ($152,000–$230,000) and Level 5 ($184,000–$287,500); the comp fields reflect the full combined range across both levels.
No specific work location is stated in the posting; Santa Clara, CA (NVIDIA HQ) is used as the best-guess metro. The role does not appear to be remote.
Snowflake and BigQuery are listed as parenthetical examples of data warehouses under the required qualifications section; they are treated as a single interchangeable hard gate on data warehouse experience. Similarly, SAP and Oracle are examples of ERP systems under the same required block.
The degree requirement lists several fields but explicitly accepts 'equivalent experience,' so no minimum degree is hard-gated.
SOC classification is Medium confidence: the role is primarily about building and architecting data pipelines and schemas (15-1243 Database Architects), but the heavy Python/software engineering emphasis and ML pipeline work create a plausible case for 15-1252 Software Developers.
Apache Airflow and dbt appear together as a single parenthetical example under 'Ways to stand out from the crowd' (the preferred/nice-to-have section), so they are treated as interchangeable preferred skills.
Read the full posting
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