243 jobs for "Data Engineer, E-Commerce"

Responsibilities

Global E-Commerce Team is a content E-commerce business with international short video products as the carrier. It is committed to becoming the first choice for users to discover and purchase good products at affordable prices. The global E-commerce business team hopes to provide users with a more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live E-commerce, and short video content E-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

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.

Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.

Responsibilities:
- Develop efficient, scalable, and secure fullstack solutions that support E-commerce product experiences and platform operations.
- Contribute to both frontend and backend development, including user-facing features, APIs, internal tools, platform components, and service integrations.
- Assist with optimizing application performance, data processing, system reliability, and overall user experience under the guidance of experienced engineers.
- Participate in system design discussions, code reviews, testing, debugging, and end-to-end feature delivery as part of the development lifecycle.
- Learn and apply AI-assisted development practices to improve coding efficiency, documentation, debugging, testing, and engineering productivity.
- Explore fullstack scenarios that support AI-enabled product features, workflow automation, or intelligent decision-making capabilities where applicable.

Qualifications

Minimum Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Computer Science or a related discipline.
- Familiarity with fullstack development and proficiency in at least one programming language such as Java, Golang, Python, Scala, C++, JavaScript, or TypeScript.
- Basic understanding of data structures, algorithms, computer networks, databases, and web application fundamentals.
- Familiarity with common frontend and backend technologies, such as modern web frameworks, APIs, relational databases, cache systems, or messaging systems.

Preferred Qualifications:
- Strong problem-solving skills, learning agility, and sense of ownership.
- Interest in fullstack product development, large-scale distributed systems, platform engineering, or data-intensive applications.
- Familiarity with AI-assisted coding tools, engineering automation, or systems supporting intelligent product capabilities.
- Comfortable working in a fast-moving, collaborative, and globally distributed team environment.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Computer Science or a related discipline.
- Familiarity with fullstack development and proficiency in at least one programming language such as Java, Golang, Python, Scala, C++, JavaScript, or TypeScript.
- Basic understanding of data structures, algorithms, computer networks, databases, and web application fundamentals.
- Familiarity with common frontend and backend technologies, such as modern web frameworks, APIs, relational databases, cache systems, or messaging systems.

Preferred Qualifications:
- Strong problem-solving skills, learning agility, and sense of ownership.
- Interest in fullstack product development, large-scale distributed systems, platform engineering, or data-intensive applications.
- Familiarity with AI-assisted coding tools, engineering automation, or systems supporting intelligent product capabilities.
- Comfortable working in a fast-moving, collaborative, and globally distributed team environment.

About TikTok

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

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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