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Senior Data Engineer – New Data Science & Research Division – Python / SQL

New York, NY, USA

Job Type

Perm

About The Role

We’re currently working with a leading, tech-driven Asset Management firm, who are looking for a senior Python Data Engineer to join the engineering function for a new Data Science & Analytics division they have created.


This group faces off to the Data Scientists in the Front Office, and has a direct impact on the bottom line. This technology function prospects new, cutting-edge data sources and integrates them into the current Data Lake, allowing the Data Scientists to create more efficient ML models and better trading decisions.


You’ll be joining a small group of data engineers to build a massively distributed data analytics platform, working with a host of modern Big Data tools to push/pull data across the entire firm. This is a senior role, looking for someone who can define the technical direction of the team and also comfortably face off to business stakesholders (Data Scientists and Analysts).


Required Skills

  • Minimum of 5 years commercial experience in software engineering or data engineering

  • Strong Python and SQL programming skills

  • Good understanding of both SQL and NoSQL databases

  • Experience creating and implementing ETL data pipelines

  • Strong communication skills

Nice to have

  • Exposure to financial services and front office trading systems is beneficial but not necessary

  • Exposure to data modelling is beneficial

Salary range

  • $250,000 - $400,000 total compensation (base + bonus)

Location

  • New York/Chicago

For more information, please email Lewis.poon@stanfordblack.com

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