Data Engineer Intern – Global Live Data

Job Description

Data Engineer Intern (Data Platform – Global Live) – 2026 Start (MS) | TikTok

The Tone:
This is an internship at TikTok, likely located in Los Angeles, CA, offering students industry exposure and hands-on experience. TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy through its global product. This role is crucial as it involves building and optimizing one of the world’s largest data platforms, directly empowering the growth of the TikTok LIVE business and impacting hundreds of millions of users. Interns will develop fundamental skills, explore potential career paths, and apply their knowledge in real-world scenarios.

The TL;DR
• Role: Internship
• Type: Temporary, Seasonal
• Location: In-person, Los Angeles, CA
• Pay: $45 hourly
• Team: Data Platform Global Live team
• Mission: Empower TikTok LIVE business growth by building high-quality data warehouses, creating efficient data assets, and exploring business-oriented data solutions leveraging big data and LLM.
• Tech Stack: SQL, Python, LLM

What You’ll Actually Do
• Solution Design: Design and implement easy-to-use data solutions to address specific business problems.
• Data System Collaboration: Collaborate with data engineers to ensure a smooth data usage experience for users, including data discovery, usage guidance, and system promotion.
• Business Growth: Partner with global business teams to drive user growth and revenue growth for TikTok LIVE.
• Platform Development: Build and optimize one of the largest data platform ecosystems in the world.
• Technology Exploration: Explore and apply the latest technologies, including LLM, to enhance data solutions and capabilities.

The Must-Haves
• Background: Currently pursuing a Master’s degree in Software Development, Computer Science, Computer Engineering, Mathematics, Statistics, Data science, or a related technical discipline.
• Experience: Good experience in data solutions such as data consulting, product development, and data tools creation; an understanding of data warehousing and data system construction ideas.
• Skills: Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions and data metrics; experience with coding (SQL, Python).
• Bonus: Passionate and self-motivated about using data to drive business decisions.