Internship - Data Engineering

We are looking for a Data Engineering Intern to support our engineering operations 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 supporting engineering test operations.
• Develop and maintain ETL pipelines for data ingestion and transformation workflows.
• Build basic API interfaces for data access and integration with engineering platforms and systems
• Implement template parameter mapping and generation logic using templating frameworks.
• 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.

REQUIRED

• Currently pursuing a Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Engineering, Data Science, or a related field.
• Expected internship onboarding/start date: Early 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.
• Experience with templating frameworks or code generation tools.
• 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, Power BI, or similar).
• Exposure with modern API integration frameworks and data orchestration tools
• Time-series databases or specialized data systems
• Systems programming language exposure

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.