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 agile team, you'll play a vital role in building secure and effective 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 innovative data solutions and cultivate your engineering craft at Spring Financial.

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