Backend Software Engineer Project Intern (Data Platform, Data Management Suite) - 2026 Start

Description du poste:

Team Introduction The Data Management Suite team builds products that support the full lifecycle of data pipelines, including data ingestion and integration, data development, data catalog, data security, and data governance. These products serve a wide range of business scenarios and help data engineers and data scientists significantly improve productivity. As a Software Engineer on the Data Management Suite team, you will have the opportunity to build, optimize, and scale one of the largest data platforms in the world. You will gain hands-on experience working on core systems across the data platform ecosystem, and your work will have a direct impact on the company's core products and hundreds of millions of users. As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests. Applications are reviewed on a rolling basis, so we encourage you to apply early. Responsibilities - Design and implement a unified data development platform to improve the efficiency of global data producers, including intelligent IDE capabilities, workflow management, and multi-engine integration. - Explore efficient approaches to managing distributed states and synchronizing metadata between centralized systems and regional environments worldwide. - Design and develop a high-performance, distributed scheduling system to manage large-scale tasks across different business lines throughout ByteDance. - Work closely with partner teams across the company and around the world. - Design and develop integrations with other systems across the big data ecosystem

Profil requis du candidat:

Minimum Qualification(s) - Currently pursuing an Undergraduate / Master's in Computer Science, Engineering, Mathematics, Software Engineering, or a related technical discipline. - Familiarity with at least one backend programming language, such as Java, Go, or Python. Preferred Qualification(s) - Strong foundation in software development, data structures, and algorithms. - Exposure to software design and architecture, as well as testing and launching software products. - Familiarity with web frameworks such as Spring Boot. - Exposure to data platform product development or big data technologies such as Hadoop, ClickHouse, and Flink