Global Live Data Engineer: Real-Time Analytics Platform

TikTok; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Wellbeing benefits

Paid holidays

Job summary

TikTok is seeking a Data Engineer for the Global Live team to build and optimize one of the world’s largest data platforms. You will work across real-time and offline data warehouses, creating data assets and solutions that empower TikTok LIVE growth and drive revenue globally.

You will partner with data engineers and business teams worldwide to deliver scalable data solutions, promote data usage, and support decision-making for live features used by hundreds of millions of users.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data solutions

Analytical skills

Data warehousing

SQL

Python

Business metrics

Job description

TikTok is seeking a Data Engineer for the Global Live team to build and optimize one of the world’s largest data platforms. You will work across real-time and offline data warehouses, creating data assets and solutions that empower TikTok LIVE growth and drive revenue globally.

You will partner with data engineers and business teams worldwide to deliver scalable data solutions, promote data usage, and support decision-making for live features used by hundreds of millions of users.