Senior Data Engineer — Hybrid in Vancouver, AI‑Driven Platform

Spring Financial; Vancouver; Hybrid; CAD 120,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health benefits

GRSP matching program

Transit allowance

Career growth opportunities

Job summary

A leading fintech company in Vancouver is looking for a Senior Data Engineer to design and deliver scalable data pipelines and infrastructure. This hybrid role involves collaborating with cross-functional teams and integrating AI capabilities into data workflows. The ideal candidate will have extensive experience with Snowflake, AWS tools, and real-time data systems, along with excellent communication and mentoring skills. The position offers competitive compensation and a comprehensive benefits package.

Qualifications

• Expertise in designing and scaling data pipelines using Snowflake and AWS-native tools.
• Strong experience with real-time data systems like Kafka or Spark Streaming.
• Excellent communication and collaboration skills.
• Proven ability to mentor and influence engineers.

Responsibilities

• Architect and lead the delivery of scalable, secure data pipelines.
• Define and enforce engineering standards within data systems.
• Partner with ML, Analytics, and Finance teams for accurate data use.

Skills

Snowflake expertise

AWS-native tools proficiency

Real-time data systems experience

Python fluency

SQL proficiency

AI integration experience

Excellent communication skills

Mentoring skills

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

AWS Glue

AWS Lambda

AWS Redshift

Terraform

Kafka

Job description

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