Data Engineer Intern – Data Platform E-Commerce

Job Description

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

The Tone:
This is an internship at TikTok, a company operating a leading global platform for short-form mobile video, aiming to inspire creativity and bring joy to hundreds of millions of users. As a Data Engineer Intern within the Data Platform E-Commerce team, you will have the unique opportunity to build, optimize, and grow one of the largest data platforms worldwide within a rapidly growing tech company fostering an ‘Always Day 1’ mindset. The internship offers industry exposure and hands-on experience, allowing students to develop fundamental skills, explore career paths, and apply knowledge in real-world scenarios for personal and professional growth. Your work will provide direct experience with diverse data platform systems and will have a substantial impact on the company’s core products.

The TL;DR
• Role: Internship
• Type: Seasonal
• Location: Not specified; potential for in-person or remote work.
• Pay: $42.75 hourly
• Team: Data Platform E-Commerce team
• Mission: Design, implement, and maintain reliable, scalable, and extensible big data systems to support TikTok’s core e-commerce products and business operations.
• Tech Stack: Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink

What You’ll Actually Do
• Design: Design and build data transformations efficiently and reliably for various analytical purposes, including reporting, growth analysis, and multi-dimensional analysis.
• Implement: Design reliable, scalable, robust, and extensible big data systems that support core products and business.
• Engineer: Implement reliable, scalable, robust, and extensible big data systems that support core products and business.
• Advocate: Establish solid design and best engineering practices for engineers as well as non-technical people.

The Must-Haves
• Background: Student currently pursuing an Undergraduate or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Experience: Commitment to working for 12 weeks during Summer 2026. Experience with Big Data technologies including Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, and Flink. Experience performing data analysis, data ingestion, and data integration.
• Skills: Experience with ETL (Extraction, Transformation & Loading) and architecting data systems. Experience with schema design, data modeling, and SQL queries.
• Bonus: Self-motivation and enthusiasm for technologies in the Big Data area.