Data Engineer Intern – Data Platform

Data Engineer Intern (Data Platform Tik Tok BP) | Tik Tok

This is an in‑person internship at Tik Tok, likely located in a major city such as Los Angeles, where the company has offices. Tik Tok is the leading destination for short‑form mobile video, with a mission to inspire creativity and bring joy. This role is crucial for building, optimizing, and expanding one of the world’s largest data platforms. Your work will directly impact the company’s core products and millions of users globally.

• Role:
  Internship
• Type:
  Seasonal
• Location:
  
  In‑person, Major City (e.g., Los Angeles)
• Pay: $45 hourly
• Team:
  Data Platform team
• Mission:
  Design and implement reliable, scalable big data systems and transformations that support core products and business.
• Tech Stack:
  Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, Click House, Flink

• Data Transformation:
  Design and build efficient and reliable data transformations for purposes like reporting, growth analysis, and multi‑dimensional analysis.
• System Implementation:
  Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business functions.
• Engineering Practices:
  Establish solid design principles and best engineering practices for both technical and non‑technical staff.
• Hands‑on
  
  Experience:
  
  Gain practical experience across various systems within the data platform ecosystem.

• Background:
  Currently pursuing an Undergraduate or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Experience:
  
  Able to commit to working for 12 weeks during Summer 2026. Experience in Big Data technologies such as Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, Click House, and Flink.
• Skills:
  
  Performing data analysis, data ingestion, and data integration.
• Bonus:
  Experience with ETL (Extraction, Transformation & Loading) and architecting data systems. Experience with schema design, data modeling, and SQL queries. Self‑motivated interest in Big Data technologies.