About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology

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Responsibilities

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 talented individuals to join us for an internship in 2026. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at Tik Tok.

Internships at Tik Tok 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 2026 .

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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 Tik Tok 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, 2026May 18th, 2026May 26th, 2026June 8th, 2026June 22nd, 2026Key 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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Client-provided location(s): San Jose, CA

Job ID: Tik Tok-7584219416980818229

Employment Type: INTERN

Posted: 2025-12-19T20:18:25
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Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

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