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 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 cutting-edge data solutions and cultivate your engineering craft at Spring Financial. #J-18808-Ljbffr

📌 Experienced Data Engineer at Spring Financial (Winnipeg)
🏢 Socket.dev
📍 Winnipeg