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 dynamic 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
• Strong ability to communicate technical concepts clearly

Drive innovative data solutions and cultivate your engineering craft at Spring Financial.
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📌 Experienced Data Engineer at Spring Financial (British Columbia)
🏢 Socket.dev
📍 British Columbia