Data Engineer Intern (TikTok-Privacy and Security-Data Infra) - 2026 Summer(BS/MS)

The Data Infra, Privacy & Security team is missioned to ensure the safety of company-level big data products and compliance with local principals and regulations. We are adding privacy features to TikTok tech stack, and building world-class data security & privacy framework on top big data technology. It's an emerging area where many companies and industry are heavily investing. Your work will impact billions of users and bring "data for good" social values.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:
- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026

Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

Responsibilities:
- Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements.
- Participate in the privacy compliance governance of large-scale, complex data warehouse.
- Design and build data services efficiently and reliably for different purposes;
- Establish solid design and best engineering practices.