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Data Engineer, Global Live

TikTok

San Jose, CA · Posted November 13, 2026

Just laid off? Start here: a plan for the first weeks

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TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

Skills this job asks for

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  • Python
  • SQL

About the job

The Data Platform Global Live team is dedicated to empowering the growth of TikTok LIVE business through big data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of TikTok LIVE features, in addition to robust data support to enhance live performance for streamers.

As a data engineer in the Global Live 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.

As a Data Solutions Consultant, you will be responsible for: - Understanding business problems, designing and implementing easy-to-use data solutions for businesses. - Collaborating with data engineers to understand the data system and provide a smooth data usage experience for data users, including but not limited to data discovery, data usage guidance, and promotion of the data system. - Collaborating with business teams from all over the world to drive user growth and revenue growth.

Minimum Qualifications: - Good experience in data solutions, such as data consulting, product development, and data tools creation. - Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions and data metrics. - Have an understanding of data warehousing and the construction ideas of the data system. - Experience with coding (SQL, Python, etc.) - Passionate and self-motivated about using data to drive business decisions.