Shape the future of fintech with Spring Financial as a Data Platform Engineer II. Work hybrid in downtown Vancouver to develop scalable data infrastructure using AWS, Snowflake, and AI-driven technologies. As part of a energetic team, you'll play a vital role in building secure and efficient data pipelines that meet business needs.

Your experience with AWS and Snowflake will help integrate real-time data systems and enhance the analytics capabilities for stakeholders across the organization. You'll also engage in meaningful collaborations that foster trust and clarity in data delivery. Key Responsibilities:
Develop and sustain data pipelines on AWS and Snowflake
Modernize data flows to facilitate self-serve analytics
Establish standards for testing, security,



and CI/CD
Embed AI functionalities for improved data handling
Collaborate with finance and analytics teams on data needs Requirements:
Solid background in AWS and Snowflake data engineering
Experience with real-time processing technologies
Fluent in Python and SQL, with AI integration skills
Proven success in managing projects from inception to completion
Solid ability to communicate technical concepts clearly Drive cutting-edge data solutions and cultivate your engineering craft at Spring Financial.

📌 Experienced Data Engineer At Spring Financial Vancouver (Canada)
🏢 Socket.dev
📍 Canada