精選DATA崗位|Google、Amazon、Salesforce持續熱招！

為大家獻上今天的精選崗位！

👇👇👇

【Google】

職位：Data Scientist, Content Safety Platform

行業分類：Artificial intelligence, Advertising, Cloud computing, Computer software, Computer hardware, Internet

公司規模：139,995

工作地點：San Francisco, CA, USA

職位要求：

Master's degree in Statistics, Mathematics, Physics, Economics, Operatio

ns Research, Engineering, or a related quantitative field.
Experience in Artificial Intelligence or Machine Learning.
Experience coding in Python.

職位申請連結（請直接複製至瀏覽器開啟）

https://www.google.com/about/careers/applications/jobs/results/87572842903675590-data-scientist-content-safety-platform

【Amazon】

職位：Data Engineer I, DBS BI

行業分類：Conglomerate

公司規模：1,541,000

工作地點：USA, WA, Bellevue

職位要求：

Bachelors or Master’s Degree in Computer Science/Engineering, Information Technology with at least 2+ years of experience in Data Engineering Applications with following skills:
Excellent knowledge and experience of designing and developing data engineering systems from grounds up and maintaining/supporting existing systems.
Advanced knowledge of ETL tools and various data processing techniques
Good knowledge of data warehousing and big data design and concepts
Experience in dealing with large and complex data sets and performance tuning
Experience in designing data models that supports structures and unstructured data
Experience in gathering requirements and formulating business metrics for reporting
Strong verbal/written communication & presentation skills, including an ability to effectively communicate with business: technical and technical teams.
Ability to deal with ambiguities and competing priorities.

職位申請連結（請直接複製至瀏覽器開啟）

https://www.amazon.jobs/en/jobs/2928689/data-engineer-i-dbs-bi

【Salesforce】

職位：Summer 2025 Intern – Data Engineer

行業分類：Cloud computing,Enterprise software,Consulting

公司規模：73,542

工作地點： Washington – Seattle;California – San Francisco

職位要求：

Currently pursuing a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Spring 2026 Grad)
Strong proficiency in Python and SQL.
Proficiency using GIT for code standardization and versioning.
Strong understanding of data warehouse concepts(e.g., star schema, snowflake schema), data models, and data pipelines.
Familiarity with ETL (Extract, Transform, Load) principles.
Basic knowledge of data integration and data modeling.
Ability to write clean, efficient, and well-documented code.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Ability to learn quickly and adapt to new technologies.