NVIDIA

1 week ago

Supply Chain Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build production-grade data pipelines that power NVIDIA’s coordinated supply chain forecasting ecosystem. Own end-to-end SQL/Python ETL/ELT workflows, curate and validate massive supply chain datasets, and architect optimized tables, views, and schemas for fast downstream computation. Partner to migrate legacy planning into centralized data environments, collaborate with engineering, procurement, operations, and IT, and support ML/AI models with clean, low-latency data.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Mid level

Key Responsibilities

•Compose, write, and scale automated data pipelines using SQL and Python to extract, transform, and load supply chain datasets.
•Serve as primary data quality guardian by building automated validation scripts to detect anomalies, missing inputs, and historical mismatches.
•Build and improve pipelines feeding downstream machine learning and AI models with clean, low-latency data.
•Architect and maintain optimized data tables, views, and schemas for rapid querying by unified computational systems.
•Deconstruct legacy planning workflows and migrate them into automated, centralized data environments that tie forecasting to procurement.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.
•Mastery in SQL and Python (including data manipulation libraries like Pandas).
•7+ years of data pipeline experience building and running automated ETL/ELT pipelines in production.
•Deep experience with relational databases, data warehouses (e.g., Snowflake, BigQuery), or enterprise ERP systems (like SAP or Oracle).
•Strong data quality/detail orientation and high autonomy to build robust pipelines from scratch.

Experience:7+ yearsData pipelinesETL/ELTSupply chainForecastingSemiconductors

Education:Bachelor's in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research

Skills:Data integrity focusAttention to detailAutonomyCollaboration

Tech Stack:SQLPythonPandasSnowflakeBigQuerySAPOracleApache AirflowDbtMATLABAWSAzureGCPETLELTMachine learningAIDataOps

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 week ago

Supply Chain Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Mid level

Key Responsibilities

•Compose, write, and scale automated data pipelines using SQL and Python to extract, transform, and load supply chain datasets.
•Serve as primary data quality guardian by building automated validation scripts to detect anomalies, missing inputs, and historical mismatches.
•Build and improve pipelines feeding downstream machine learning and AI models with clean, low-latency data.
•Architect and maintain optimized data tables, views, and schemas for rapid querying by unified computational systems.
•Deconstruct legacy planning workflows and migrate them into automated, centralized data environments that tie forecasting to procurement.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.
•Mastery in SQL and Python (including data manipulation libraries like Pandas).
•7+ years of data pipeline experience building and running automated ETL/ELT pipelines in production.
•Deep experience with relational databases, data warehouses (e.g., Snowflake, BigQuery), or enterprise ERP systems (like SAP or Oracle).
•Strong data quality/detail orientation and high autonomy to build robust pipelines from scratch.

Experience:7+ yearsData pipelinesETL/ELTSupply chainForecastingSemiconductors

Education:Bachelor's in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research

Skills:Data integrity focusAttention to detailAutonomyCollaboration

Tech Stack:SQLPythonPandasSnowflakeBigQuerySAPOracleApache AirflowDbtMATLABAWSAzureGCPETLELTMachine learningAIDataOps

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor