Data Engineer Intern (Data Platfrom TikTok BP) - 2027 Summer
Sep 22, 2026 San Jose
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
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:
- Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
- Able to commit to working for 12 weeks during Summer 2026
- 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;
Preferred Qualifications:
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.
- 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.
As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
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.
Minimum Qualifications:
- Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
- Able to commit to working for 12 weeks during Summer 2026
- 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;
Preferred Qualifications:
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.
- 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.
As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
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:
- Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
- Able to commit to working for 12 weeks during Summer 2026
- 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;
Preferred Qualifications:
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.
- 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.
Responsibilities
ResponsibilitiesAs a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
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
QualificationsMinimum Qualifications:
- Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
- Able to commit to working for 12 weeks during Summer 2026
- 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;
Preferred Qualifications:
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.
- 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.
Additional Information
- Posted: Sep 22, 2026