Early-Career Data Engineer: Build Scalable Pipelines & AI

Western Digital; San Jose (CA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive benefits package

Paid time off

Remote work flexibility

Job summary

A leading data storage company is looking for a Data Engineer to design and maintain scalable data pipelines supporting HDD performance testing and analysis. Ideal candidates hold a Master's degree in Computer Science or related fields and have proficiency in R and Python. Responsibilities include collaborating with SMEs, creating automated testing scripts, and integrating AI tools into data systems. This entry-level full-time position is located in San Jose, California, offering exciting opportunities in the evolving data storage industry.

Qualifications

• Must graduate between March 2026 and May 2026.
• Experience with AI tools through academic projects is preferred.
• Knowledge of the HDD industry is a plus.

Responsibilities

• Design and maintain data pipelines for HDD testing.
• Collaborate with SMEs on HDD performance analysis.
• Create automated test scripts for data systems.

Skills

Data analytics

R programming

Python

Collaboration

Attention to detail

Generative AI

Education

Master’s degree or higher in Computer Science or related field

Tools

Google Cloud

AWS

Git

Jenkins

Docker

Job description

A leading data storage company is looking for a Data Engineer to design and maintain scalable data pipelines supporting HDD performance testing and analysis. Ideal candidates hold a Master's degree in Computer Science or related fields and have proficiency in R and Python. Responsibilities include collaborating with SMEs, creating automated testing scripts, and integrating AI tools into data systems. This entry-level full-time position is located in San Jose, California, offering exciting opportunities in the evolving data storage industry.