# Supply Chain Data Engineer

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Supply-Chain-Data-Engineer_JR2021179?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_eb19e2b6-4b6

## Description

NVIDIA is seeking a high-caliber, hands-on data engineer specializing in supply chain to act as the ultimate data custodian.

Your mission is to replace manual workflows with automated, production-grade data pipelines.

**Responsibilities:**

- Personally compose, write, and scale automated data pipelines using SQL and Python to extract, transform, and load large supply chain datasets from internal and external systems.

- Serve as the primary guardian of data quality, building automated validation scripts to catch anomalies, missing inputs, and historical mismatches.

- Build and improve automated pipelines that feed downstream machine learning and AI models.

- Architect and maintain highly optimized data tables, views, and schemas specifically structured for rapid querying by unified computational systems.

- Partner with the team to deconstruct legacy, decentralized planning workflows and systematically migrate them into automated, centralized data environments.

- Sync closely with engineering, global procurement, operations, and IT teams to unearth hidden data sources and standardize core supply chain metrics.

**Requirements:**

- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.

- Expert Data Engineering Skills: Mastery in SQL and Python (specifically data manipulation libraries like Pandas).

- 7+ Years of Data Pipeline Experience: Proven track record of personally building and running automated ETL/ELT pipelines in a production setting.

- Database Expertise: Deep experience working with relational databases, data warehouses (e.g., Snowflake, BigQuery), or large enterprise ERP systems (like SAP or Oracle).

- Extreme Detail Orientation: A hyper-focused mindset regarding data integrity.

- High Autonomy: Comfortable operating with loose initial guidelines to build robust, production-ready data pipelines from scratch.

**Preferred Qualifications:**

- Prior experience building data infrastructure within the semiconductor, electronics, or large-scale technology hardware supply chains.

- Background with mathematical modeling environments, advanced computation engines, or algorithmic simulation software (e.g., MATLAB, advanced Python packages).

- Familiarity with workflow orchestration tools (like Apache Airflow or dbt) or basic infrastructure used to support Machine Learning pipelines (DataOps).

- Experience cloud-architecting supply chain master data (AWS, Azure, GCP).

You will also be eligible for equity and benefits.

## Skills

### Required
- SQL
- Python
- Data Engineering
- ETL/ELT pipelines
- Data Warehouses
- Relational Databases
- ERP Systems

### Nice to have
- Mathematical Modeling
- Advanced Computation Engines
- Algorithmic Simulation Software
- Workflow Orchestration Tools
- DataOps
- Cloud Architecture

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Supply-Chain-Data-Engineer_JR2021179?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)