Principal Data Engineer

Come join a growing organization that is aimed at solving consumer storage needs! Check out a few of our recent release: EdgeRover™ - Single view of your content | ibi™ - Smart Photo Manager | My Cloud Home - Personal Cloud Storage | Armorlock - Next Gen Secure SSD

REIMAGINE how the world STORES, ACCESSES, and ENJOYS their content.

Western Digital is a one of the world’s most sophisticated, foundational technology companies. A Fortune 150 company and the world’s largest maker of hard drives & flash memory products, we literally create the space upon which the digital world is built. Think about it. If not for our products, there would be no computing, social media or streaming media. We develop the technologies and make the products that make all of those things possible!

At Western Digital’s Consumer Solutions group we design, build and ship hardware and software that enhances the digital lives of more than 300 million customers every year. With more than 350,000 points of sale worldwide, we help consumers in more than 190 countries connect with their content, so they get more enjoyment and value from the digital lives.

We are looking for a Principal Data Engineer to join our growing analytics team. In this role, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams in the Engineering Organization. You will support our software developers and product management teams on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Develop, construct, test, and maintain optimal data architectures.
• Focus on Quality Analytics (Mean Time between Failures, Mean Time to Crash, Mean Time to Hang, and other quality metrics).
• Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Build analytics tools that utilize the data pipeline to provide actionable insights into product quality and other key performance metrics.
• Deploy sophisticated analytics programs, machine learning, and statistical methods.
• Prepare data for predictive and prescriptive modeling.
• Find hidden patterns using data.
• Deliver updates to stakeholders based on analytics.

REQUIRED:

• 5+ years working as Data Engineer focusing on Quality and Product Analytics.
• Bachelor's/Master's degree in Computer Engineering, Computer Science, Mathematics, or related field is required.
• Strong analytic skills.
• A successful history of manipulating, processing, and extracting value from large datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity.

Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Part of creating a diverse and inclusive workplace includes ensuring that all qualified applicants and employees are provided equal consideration for any available opportunity.

Western Digital is committed to offering opportunities to applicants with a disability. If you need a reasonable accommodation, email us at [email protected]. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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