Big Data Engineer Project Intern (Global Monetization Product and Technology) - 2026 Start (BS/MS)

Responsibilities

Team Introduction
Monetization data SG team aims to empower TikTok monetization business through acquiring, building and managing all kinds of ad data as our data foundation, and further provide scalable solutions including dashboards, pipelines, data products and data services. We are partnership with business through a better understanding of business strategy and aligning OKRs with business to drive business growth as a stakeholder. At the same time, our team continues to explore the development of data engines, data warehouse methodology, BI tools, ML data technology to efficiently improve the efficiency of data development, and deeply mine data value to improve business growth.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.

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

- From August to December
- From May to August (Summer)

Responsibilities
- Responsible for developing and operating our internal BI platform to support various business of advertising and analytics.
- Process data processing requests and execute data model design, implementation and maintenance;

Qualifications

Minimum Qualifications
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major;
- Strong interest in computer science and internet technology;
- Know relevant technologies of the Hadoop ecosystem, such as the principles of MapReduce, Spark, Hive, and Flink;
- Familiar with SQL, be able to use SQL to perform data analysis, or proficient in Java, Python and Shell and other programming languages for data processing;