Early Career Talent - Data Engineer

Early Career Talent - Data Engineer

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description

We are seeking a Data Engineer with a strong background in data pipelines, automated testing, Data Analytics, and HDD systems. The ideal candidate will bridge the gap between software and hardware data environments—developing, validating, and maintaining data workflows that support HDD performance testing, analysis, and reporting.

Essential Duties & Responsibilities:

• Design, build, and maintain scalable data pipelines to collect, process, and analyze data with HDD testing systems
• Develop processes to ensure accurate and efficient data flow between tester, databases, and analytics tools
• Collaborate with SMEs to analyze HDD performance, reliability, and failure data
• Create automated test scripts and integrate testing results into data systems and dashboards
• Support root cause analysis and predictive modeling of HDD test data
• Integrate AI tools, such as chatbots or other interactive platforms, to facilitate access to summarized reports and knowledge bases
• Work closely with cross-functional teams to ensure reporting systems are aligned with overall business goals

Qualifications

Role begins Summer 2026

Required:

• Master's degree or higher in Computer Science, Data Science, Engineering, or a related field (Graduating Mar 2026 - May 2026).
• Proficiency in R and Python, developed through coursework, research projects, or internships.
• Proven analytical skills and a strong attention to detail, demonstrated in your academic work or applied projects.
• A demonstrated ability to communicate and collaborate with SMEs and diverse, cross-functional teams.
• Knowledge or curiosity about the data storage (HDD) industry—even if your experience has been in academic projects or classes.
• Experience (even through academic projects) with Generative AI, NLP, or other AI tools.
• Exposure to business intelligence platforms and cloud services like Google Cloud or AWS.
• Familiarity with CICD toolchains like Git, Jenkins, Docker (academic, project-based, or internship experience).
• Experience with other programming languages like C++, Java, JavaScript/Node.js—even from side projects or research.

Preferred:

• Familiarity with large-scale database concepts, with project or classroom experience

What Sets You Apart:

• You're forward-thinking and eager to apply the latest trends to real-world problems.
• You're not just looking for a job—you're looking to grow and innovate, and you're driven by a desire to make an impact.
• Your ability to communicate complex ideas, both to peers and non-technical stakeholders, is a major asset.
• You thrive in a collaborative environment where diverse perspectives are valued.