Data Engineer Intern (Ads Data) - 2025 Summer (BS/MS)

TikTok's immersive experience, global presence, and high engagement makes it the ideal marketing destination for business, big and small, to showcase their unique brand identity, connect with their consumers, and build strong lasting relationships over time. The Ads Data Team builds and manages the petabyte scale data infrastructure, batch/realtime pipelines and services to support Tiktok's global Ads business. We are committed to building a robust data foundation and scalable data applications, unblocking the full potential of advertising data to optimize advertiser experience, boost business growth, empower strategy execution.

We are looking for passionate Data Engineers that have strong problem solving skills to join forces with talented cross functional partners (business operation, data science, engineering and product management) to solve some of the most interesting data challenges with efficiency and quality. In this role, you will contribute to the company's core business across innovative advertising products, campaign management and measurement solutions. You will see a direct impact from your day-to-day work to customer satisfaction and company growth.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available 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 May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below:
- Monday, May 12
- Monday, May 19
- Tuesday May 27 (Memorial Day May 26)
- Monday, June 9
- Monday, June 23

Please state your availability clearly in your resume (Start date, End date).

Key Responsibilities:
This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:
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.