← 返回岗位列表美国IT/互联网internship

数据工程师毕业生 - 2027年入职

雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

🤖 AI 简历匹配评估

检测你的简历与该岗位的匹配度,免费

免费评估

岗位摘要

Build and optimize large-scale data platforms, designing reliable big data systems and data transfor

岗位职责

As a data engineer in the Data Platform E-Commerce 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.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities - What You'll Do
- 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.

申请条件

Successful candidates must be able to commit to an onboarding date by the end of the year.
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.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

对这个岗位感兴趣?

上传简历,AI 免费评估匹配度,一键发送至雇主

无需注册,上传简历即可投递

申请海外岗位,英文简历符合当地格式规范吗?

AI 自动评估你与该岗位的匹配度,3 分钟出结果

免费评估简历匹配度

数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有