Data Engineer Intern (Monetization Data) - 2027 Summer San Jose Undergraduate​/Master Intern - 2

Discover a career that energizes and excites you every day.

@2026 Tik Tok

Technology

Location:

San Jose

Employment Type:

Intern

Job Code:

A114417

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Responsibilities

The Monetization Data team builds the data foundation that powers Tik Tok's global advertising and monetization products. We design and operate large-scale batch and real-time data pipelines, data warehouses, and analytics platforms that help improve advertiser experience, measure business performance, support experimentation, and drive product and strategy decisions.

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.

Responsibilities:

- 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.

- Evaluate, implement and maintain data infrastructure tools and technologies to support efficient data processing, storage and query.

- Design, build and optimize scalable data pipelines to ingest, process and transform large volumes of data.

- Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.

- Ensure the data integrity, accuracy and consistency of data by implementing data quality checks, validation processes and monitoring mechanisms.

- Continously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability.

- Provide rapid response to SLA oncall support to business critical data pipelines.

- Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.

Qualifications

Minimum Qualifications:

- Currently pursuing an Undergraduate/Master's in Computer Science, Engineering, or a related field.

- Strong knowledge of SQL and experience working with relational and non-relational databases.

- Proficiency in programming languages such as Python, Java, Go etc.

- Solid understanding of data modeling and data warehousing concepts, data integration and ETL/ELT techniques.

- Effective communication skills and ability to collaborate effectively with cross-functional teams.

- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

- Able to commit to working for 12 weeks during Summer 2027.

Preferred Qualifications:

- Experience with big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data.

- Experience with cloud data warehouses (eg. Snowflake, Databricks, Big Query) and modern business intelligence/data stack.

- Experience with data governance, data privacy and compliance.

- Experience in the advertising, e-commerce or gaming industry.

Job Information

The hourly rate range for this position in the selected city is $45- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About Tik Tok

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