Software Engineer Intern (Data BP) - 2025 Summer/Fall (MS)

The mission of the Global live Data BP team is to empower the TikTok Live Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!



We are looking for talented individuals to join us for an internship in 2025. 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 beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if Fall

Please state your availability clearly in your resume (Start date, End date).



Summer Start Dates:

Monday, May 12

Monday, May 19

Tuesday May 27 (Memorial Day May 26)

Monday, June 9

Monday, June 23



Fall Start Dates:

Monday, August 11

Monday, August 25

Monday, September 8

Monday, September 22



Applications will be reviewed on a rolling basis. We encourage you to apply early. 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 ByteDance and its affiliates' jobs globally.



Responsibilities:

- Participate in the construction of offline and real-time data warehouses for TikTok Live business;

- Handle PB-level large-scale data, processing hundreds of billions of users data daily;

- Provide services for the entire lifecycle of big data, covering data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization;

- Build and design well-structured data flows, data warehouses, scheduling systems, query engines, data services, analysis systems, process specifications, and data tools/products to lower the threshold for data usage and ensure steady and efficient system operation, maximizing the value of the data.