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

le to TikTok and its affiliates' jobs globally.

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 12-24 weeks and begins in May/June 2025 or August/September 2025 (Select May if Summer or August if Fall [For Tech Only]) . Successful candidates must be able to commit to one of the following start dates below:
(Select below options for Summer)

• Monday, May 12
• Monday, May 19
• Tuesday May 27 (Memorial Day May 27)
• Monday, June 9
• Monday, June 23
  [For Tech Only] (Select below options for Fall)
• Monday, August 11
• Monday, August 25
• Monday, September 8
• Monday, September 22
  Please state your availability clearly in your resume (Start date, End date).

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 TikTok and its affiliates' jobs globally.

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

Minimum Qualifications:
• MS student in Computer Science or related technical field or equivalent practical experience;
• 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;
• 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.