Software Engineer Graduate (Data Platfrom TikTok BP) - 2026 Start (BS/MS) job opportunity at Tiktok.

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Tiktok Software Engineer Graduate (Data Platfrom TikTok BP) - 2026 Start (BS/MS)
Experience: 2-years
Pattern: full-time
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Software Engineer

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degreeBachelor's (B.Sc.)
loacation SAN JOSE, CA, United States Of America
loacation SAN JOSE, CA....United States Of America

Responsibilities We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Team Introduction: The Data Platform team works on building #data #infrastructures and data products to support business #engineering teams at TikTok. As a #Software Development Engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank. Responsibilities: #Design and #build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis) Design and implement reliable, scalable, robust and extensible big data systems that support core products and business Establish solid design and best engineering practice for engineers as well as non-technical people.

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