Data Engineer

at  Canoe Intelligence

COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Data Engineer
LOCATION: New York City (hybrid) or Fully Remote in the United States
SALARY: $110,000 - $140,000 (based on NYC, will be adjusted for geo)

WHO WE ARE:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law

THE ROLE:

We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoe’s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team’s future direction.

WHAT YOU’LL DO:

• Contribute to the design and development of our Data platform.
• Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems.
• Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings.
• Participate in cross-functional teams as Data Engineering’s representativeBuild observable systems and be an organization leader in operational excellence.