Software Engineering Intern

Job Description We are looking for a data engineering intern to support the development of a new internal database system for our HDD System Integration Testing (SIT) team. This role covers applied work across schema design, data ingestion, API interfaces, template generation logic, and reporting dashboards — with exposure to multiple data types including relational, time-series, and vector/knowledge data. Essential Duties and Responsibilities • Assist in database schema design and documentation for an automation system in Performance Test Group (PTG). • Develop and maintain ETL pipelines for data ingestion and transformation workflows. • Build basic API interfaces for data access and integration with existing test infrastructure. • Implement template parameter mapping and generation logic using Jinja2. • Support reporting and dashboarding development for engineering and operational metrics. • Perform data quality checks and validation across structured and unstructured data sources. • Maintain clear documentation for pipelines, schemas, and workflows. • Participate in code reviews and maintain clean, well-documented code. This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Qualifications Qualifications REQUIRED • Currently pursuing a Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Engineering, Data Science, or a related field. • Willing to work on-site at our office in Kuala Lumpur. • Expected internship onboarding/start date: January 2027. SKILLS • Solid foundation in SQL and relational database concepts. • Experience with Python for data handling and transformation (pandas / polars a plus). • Familiarity with REST API concepts — consuming endpoints and mapping data. • Basic understanding of ETL pipeline design and data ingestion workflows. • Exposure to Jinja2 or similar templating engines. • Ability to research and solve technical problems independently. • Comfortable working in a command-line environment, including remote access via SSH. • Version control using Git. NICE TO HAVE • Dashboarding tools (e.g., Grafana, Streamlit, or similar). • Exposure to LLM integration or API usage (e.g. building with OpenAI, Ollama, or similar). • Time-series or vector/knowledge data experience. • Go (Golang) programming language exposure.

Additional Information WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. 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. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. 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. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.