Data Engineer Intern (Monetization Data) - 2027 Summer

About the role

The Monetization Data team builds the data foundation that powers TikTok'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.

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.

Responsibilities

• Work closely with Product Managers, Data Scientists/Analysts, 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 visualizations to support complex analytical queries and reporting requirements.
• Ensure data integrity, accuracy, and consistency by implementing data quality checks, validation processes, and monitoring mechanisms.
• Continuously optimize data pipelines, queries, and processes to improve performance, reduce latency, and enhance scalability.
• Provide rapid response to SLA on-call support for business-critical data pipelines.
• Create and maintain documentation for data assets and promote best practices for data governance within the data user community.

Requirements

• 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, or Go.
• 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 (e.g., Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
• Experience with data governance, data privacy, and compliance.
• Experience in the advertising, e-commerce, or gaming industry.

Benefits

• Day one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year and paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
• Eligibility for housing allowance (for interns not working 100% remote).

Pay

The hourly rate range for this position is $45–$60.