Data Engineer

  • V.Competitive base + bonus
  • Chicago, IL, USA
  • Permanent, Full time
  • Sartre Group
  • 20 Sep 16

One of the most reputable trading firms in the world in the process of building out a new systematic trading arm and they are looking for a data engineer to work alongside their data science team.


One of the most reputable and forward thinking trading companies in the world is in the process of building out a new systematic trading arm in Chicago. The group retains a focus on utilising the latest cutting-edge software and analytical techniques (Machine Learning, HPCs etc) to make sense of petabytes of structured and un-structured data. They doubled in size over the last year, having hired engineers and data scientists from some of the most reputable software companies and research institutions in the world, and are slowly becoming one of the most profitable business units in the entire firm.


They are currently looking for a talented data engineer to work alongside their data science team and build a range of next generation tools and data pipelines that can be used to collect and transport huge quantities of unstructured data from the web. The software components that you will be building are critical to the group’s research activities so the impact that your efforts can have on the business as a whole is huge. They are a very forward thinking business and are able to offer unparalleled career progression with continuous learning opportunities. So if you are ambitious and eager to find a role where your efforts are noticed and greatly rewarded, then this is the right place for you.


  • 2 years+ software development experience in a role where Python or JavaScript is used
  • AWS or GCE deployment experience
  • Knowledge of Unix scripting
  • Comfort ingesting new web APIs
  • Expertise in modern JavaScript technologies such as node.js (preferable)
  • Strong communication skills
  • Ability to demonstrate prior delivery in a demanding and fast paced environment

Beneficial Skills

  • Software development experience in C++
  • Containerization tools such as Docker
  • Experience working within finance