Data Engineer Intern (Ads Data) - 2026 Summer (BS/MS)

e for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in 2026 .

Candidates can apply to a maximum of two positions and will be considered for jobs in the order your apply. The application limits is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:
May 11th, 2026
May 18th, 2026
May 26th, 2026
June 8th, 2026
June 22nd, 2026

Key Responsibilities:

1. Work closely with Product Managers, Data Scientists/Analysts, and Software/Machine Learning Engineers and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
2. Evaluate, implement and maintain data infrastructure tools and technologies to support efficient data processing, storage and query.
3. Design, build and optimize scalable data pipelines to ingest, process and transform large volumes of data.
4. Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.
5. Ensure the data integrity, accuracy and consistency of data by implementing data quality checks, validation processes and monitoring mechanisms.
6. Continously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability.
7. Provide rapid response to SLA oncall support to business critical data pipelines.
8. Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.

Qualifications

Minimum Qualifications:

1. Currently pursuing an Undergraduate/Master in Computer Science, Engineering, or a related field.
2. Strong knowledge of SQL and experience working with relational and non-relational databases.
3. Proficiency in programming languages such as Python, Java, Go etc.
4. Solid understanding of data modeling and data warehousing concepts, data integration and ETL/ELT techniques.
5. Effective communication skills and ability to collaborate effectively with cross-functional teams.
6. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.
7. Able to commit to working for 12 weeks during Summer 2026.

Preferred Qualifications:

1. Experience with big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data.
2. Experience with cloud data warehouses(eg. Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
3. Experience with data governance, data privacy and compliance.
4. Experience in the advertising, e-commerce or gaming industry.

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