Job description

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

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningsqlpythonjavago

Platform: tiktok
Effort: medium