Data Engineer Project Intern (Data Governance Data Cycling Center) - 2026 Start (BS/MS)

Responsibilities

Team Introduction:
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale and uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

We are looking for passionate Data Engineer Interns 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 cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. 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.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Successful candidates must be able to commit to at least 3 months long internship period.

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 insightful data visualizations for analytical reports.
- Continuously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability

Qualifications

Minimum Qualifications:
- Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Information Systems, or a related technical discipline;
- Completed coursework in Data Structures & Algorithms and Data Management /Big Data Systems or equivalent;
- 2+ years experience using Python/Java and Shell and other programming languages for data processing;
- 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.

Preferred Qualifications:
- Previous internship as a Data Engineer, Data Analyst or related role, or previous project experience designing data pipelines and databases.
- Knowledge of big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink), enthusiastic about working with terabyte to petabyte scale data.
- Knowledge of cloud data warehouses (eg. Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
- Experience working with Machine Learning team/project is a plus

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