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
- Strong 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)
🏢 Socket.dev
📍 Vancouver