Data Platform Engineer I

Key Skills

Python Programming, Azure, AWS, Machine learning techniques, Data science techniques, Google Cloud Platform (GCP), Data Analytics

Job Description

The Data Platform Engineering team is building the infrastructure to support a best-in-class decision engine. The role requires excellent communication to collaborate with our key partners-- Machine Learning Engineers, Data Scientists, and Analytics Engineers. The Data Platform Engineering team serves these internal clients by setting up, maintaining, and evolving, infrastructure and tooling that they can leverage to do their jobs then. Finally, the team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.

What You'll Do

• Serve internal clients by setting up, maintaining, and evolving, infrastructure
• Work collaboratively with QA, Product, and Business teams to identify project needs and negotiate scopes of work
• Understand project goals clearly and grasp how they fit into the larger scope of our business.

What You'll Need

• Experience working on software engineering, using Python
• Experience with Git

Nice To Have

• Worked on a cloud and deployed a personal project in AWS, GCP, or Azure
• Did freelancing during their university years

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.