Senior Data Engineer

Join to apply for the Senior Data Engineer role at Spring Financial

NOTE : This is a full-time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH.

About Us

Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial options—we’re here to change that. As one of Canada’s fastest-growing fintech companies, annually we help 1 million customers explore their financing options with ease—online, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.

To learn more about our products please visit our website here : www.springfinancial.ca.

Job Overview

As a Senior Data Engineer at Spring, you are a technical leader and strategic problem-solver who architects high-impact, resilient, and scalable data infrastructure. You work across a diverse stack—AWS-native services, Snowflake, Kafka, Spark / Flink, and orchestration frameworks—to deliver pipelines and data platforms that are secure, observable, and aligned with business needs.

You own the design and execution of complex data initiatives, such as real-time event platforms, secure data sharing mechanisms, and ML feature pipelines into modern infrastructure. You’re skilled at navigating ambiguity, balancing trade-offs between speed and sustainability, and ensuring that our data architecture scales with the business.

You are an advocate for AI-augmented engineering—both in how you and your team build (e.g., using AI for testing, schema discovery, and code generation), and in what the platform enables (e.g., semantic tagging, automated QA, natural language interfaces). You model responsible AI usage and help others incorporate it thoughtfully into development workflows.

You work across teams to frame problems, define SLAs, manage risk, and align data architecture with business goals. You are a trusted partner to senior stakeholders across Finance, Risk, Product, Analytics, and Engineering, and you influence both platform strategy and organizational standards. You also coach other engineers, lead architectural design reviews, and help set the technical direction for the team.

What You’ll Do

• Architect and lead delivery of scalable, secure, and reliable data pipelines and platform components across AWS, Snowflake, and streaming systems (Kafka, Flink, etc.)
• Scope and drive strategic initiatives to modernize legacy data flows, unify batch and streaming sources, and enable cross-functional self-serve analytics
• Champion the integration of AI capabilities—within data pipelines (e.g., anomaly detection, tagging) and within development practices (e.g., assisted testing, documentation)
• Collaborate with technical and business leaders to clarify ambiguous problems, assess risks, and propose scalable, extensible solutions
• Define and enforce engineering standards around testing, observability, security, and CI / CD within data systems
• Lead technical design and code reviews, mentor engineers across levels, and support the ongoing evolution of our data architecture
• Partner with ML, Analytics, and Finance teams to deliver data with appropriate latency, accuracy, and governance for their use cases

Requirements

What We Will Give You

Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!

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