About The Role
One of the top quantitative firms in the world is looking for exceptional for data engineers to join a completely greenfield initiative to build out a state-of-the-art commodities platform that underpins the entire firm.
You will be designing, testing, and deploying a new commodities data platform for analytical processing, as well as transaction processes that will handle millions of inputs daily with a focus on distributed systems and high-volume ingestion. You will be working for the highest revenue-generating division, as a senior engineer working directly leading the build of a next-generation platform that deals with increasing demand and rapidly changing environments. You will be surrounded by cloud and microservices as they have revamped their entire tech structure and are focused on creating a truly next-gen product that utilizes the latest opensource technology.
Required:
7+ years’ experience in Python
Commodities understanding is desirable
Analytical skills – Ability to troubleshoot and logically assess problems and determine solutions
Motivated and enthusiastic individual
Benefits:
Great working culture
Hybrid Working Environment
Great opportunities to progress
Up to $600,000 total compensation
For more information, please email Tas.Christofi@stanfordblack.com