Data Engineer Intern – E-commerce Data Platform

Job Description

Data Engineer Intern (E-commerce) – 2026 Summer (BS/MS) | TikTok

The Tone:
This is a summer internship at TikTok, a leading global destination for short-form mobile video, with headquarters in Los Angeles and Singapore, and offices worldwide. The company’s mission is to inspire creativity and bring joy to its hundreds of millions of users globally. This Data Engineer Intern role within the Data Platform E-Commerce team is crucial as it directly contributes to building, optimizing, and growing one of the world’s largest data platforms, significantly impacting the company’s core products and user experience. Internships at TikTok provide students with practical industry exposure, hands-on experience, and opportunities for professional growth.

The TL;DR
• Role: Internship
• Type: Temporary (12 weeks)
• Location: Not explicitly defined for this specific role.
• Pay: $45 hourly
• Team: Data Platform E-Commerce team
• Mission: Build, optimize, and grow one of the world’s largest data platforms to support core e-commerce products and business while impacting hundreds of millions of users.
• Tech Stack: Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, SQL

What You’ll Actually Do
• Design: Design and build data transformations efficiently and reliably for purposes such as reporting, growth analysis, and multi-dimensional analysis.
• Implement: Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business functions.
• Establish: Establish solid design and best engineering practices for both engineers and non-technical people.
• Optimize: Build, optimize, and grow one of the largest data platforms in the world.
• Experience: Gain hands-on experience on all kinds of systems within the data platform ecosystem.

The Must-Haves
• Background: Currently pursuing an Undergraduate or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Candidates should be graduating December 2026 onwards with the intent to return to their degree program after completing the internship.
• Experience: Able to commit to working for 12 weeks during Summer 2026. Prior experience with Big Data technologies. Experience in performing data analysis, data ingestion, and data integration.
• Skills: Proficiency with Big Data technologies such as Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, and Flink. Ability to perform data analysis, ingestion, and integration tasks.
• Bonus: Experience with ETL (Extraction, Transformation & Loading) and architecting data systems. Experience with schema design, data modeling, and SQL queries. A genuine interest in technologies within the Big Data area.