Data Engineer

Cornspring is an innovative FinTech startup revolutionizing Family Office services through AI-driven data intelligence. We're seeking a skilled Data Engineer to join our mission of empowering Family Offices and Asset Owners with real-time portfolio insights. This role offers a unique opportunity to work with cutting-edge AI technology and solve complex financial challenges.

As our Data Engineer, you'll be instrumental in developing and maintaining ETL pipelines, ensuring data quality, and implementing robust data solutions. You'll work directly with the Head of Data Operations in a high-ownership environment, alongside talented engineers. The position involves handling diverse data formats, automating workflows, and maintaining data integrity through sophisticated validation mechanisms.

The ideal candidate brings strong Python expertise, particularly in data manipulation, and has experience with financial data and AWS. You'll be working in a hybrid setting, spending two days in our Manhattan office, with competitive compensation and the opportunity to make a significant impact in the financial technology sector.

This is an excellent opportunity for a data professional who wants to be at the forefront of AI-driven financial technology, working with clients who manage billions in assets. You'll be part of transforming legacy systems into modern, efficient solutions while tackling technically challenging problems that directly impact the financial services industry.