TikTok

Data Engineer Intern (Data Platfrom TikTok BP) - 2027 Summer

San Jose

Found: Today

As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Responsibilities:

  • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
  • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
  • Establish solid design and best engineering practice for engineers as well as non-technical people.

Qualifications:

  • Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
  • Able to commit to working for 12 weeks during Summer 2026
  • Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
  • Experience with performing data analysis, data ingestion and data integration;

Preferred Qualifications:

  • Currently pursuing a Master's degree in Computer Science or a related technical discipline.
  • Experience with ETL(Extraction, Transformation & Loading) and architecting data systems;
  • Experience with schema design, data modeling and SQL queries;
  • Passionate and self-motivated about technologies in the Big Data area.

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