Hadoop Jobs in Seattle, Washington
56 open Hadoop jobs in Seattle, Washington at 6 companies, including Amazon, Pinterest and DoorDash. Updated daily from company career pages.
Amazon
Amazon is an e-commerce website for consumers, sellers, and content creators.
- Sr. Applied Scientist , Stores Economics and Sciences Seattle, Washington · $167,100.00 - $226,100.00 USD
- Software Development Engineer, XBDBP Seattle, Washington · $143,700 - $194,400 USD
- Applied Scientist, Neuron Automated Reasoning Group Seattle, Washington · $142,800.00 - $193,200.00 USD
- Sr. Applied Scientist, Prime Video - Title Lifecycle Presentation Seattle, Washington · $167,100.00 - $226,100.00 USD
- Sr Applied Scientist, WW Prime , WW Prime - AI/ML Science Seattle, Washington · $167,100.00 - $226,100.00 USD
38 more open roles at Amazon
Pinterest
Pinterest is a visual bookmarking tool for saving and discovering creative ideas.
- Master's University Grad Machine Learning Engineer 2027 (USA) Seattle, Washington · $146,000 - $196,000 USD
- PhD University Grad Machine Learning Engineer (USA) Seattle, Washington · $174,078 - $229,044 USD
- Sr. Machine Learning Engineer, Core Engineering Seattle, Washington · $189,721 - $332,012 USD
- Machine Learning Engineer, Core Engineering Seattle, Washington · $138,905 - $285,982 USD
- Machine Learning Engineer, EPD Ads Seattle, Washington · $163,418 - $285,982 USD
1 more open roles at Pinterest
DoorDash
DoorDash is a food delivery platform that connects customers with local and national business.
- Machine Learning Intern (Masters) - Summer 2027 Seattle, Washington · $130,600 - $285,000 USD
- Engineering Manager, Data Seattle, Washington · $193,800 - $285,000 USD
- Lead Data Scientist Seattle, Washington · $219,700 - $323,000 USD
OpenAI
OpenAI is an AI research and deployment company that conducts research and implements machine learning.
Databricks
Databricks is an AI cloud data platform that interacts with corporate information stored in the public cloud.
Sift
Sift applies insights from a global network of data to detect fraud and increase positive user experience.
Updated 2026-10-10.