Senior Data Engineer (AI Native)

Role Overview

Join a high-impact data engineering team responsible for building and scaling modern data infrastructure that powers products used by millions of people globally. In this role, you will design and maintain large-scale data platforms handling billions of events daily, enabling analytics, product innovation, and strategic decision-making.

What You Will Do

Design, develop, and maintain scalable data platforms supporting real-time analytics, batch processing, and advanced data exploration. Build and optimize streaming and batch data pipelines using technologies such as Kafka, Kinesis, Databricks, Spark, and AWS services.

Why It Might Be a Fit

This is an excellent opportunity for an experienced engineer who thrives in distributed systems, cloud-native architectures, and AI-enhanced engineering workflows. Your contributions will directly influence platform reliability, data accessibility, and the future evolution of data engineering practices.

Requirements

• 5+ years of experience designing and operating large-scale data infrastructure and distributed data systems
• Strong expertise with Databricks, Apache Spark, SQL, Python, Apache Airflow, and AWS data services, including streaming technologies such as Kafka or Kinesis
• Proven experience building and maintaining high-volume data pipelines and optimizing data processing performance
• Hands-on knowledge of data quality frameworks, validation processes, schema management, and automated monitoring solutions
• Experience designing logical and physical data models and delivering scalable data architectures for analytics and operational use cases
• Familiarity with Infrastructure-as-Code tools such as Terraform and cloud infrastructure provisioning best practices
• Strong understanding of AI-assisted software development and practical experience leveraging LLM-based tools to accelerate engineering workflows while maintaining code quality
• Ability to evaluate, test, refine, and take ownership of AI-generated outputs in production environments
• Excellent communication, collaboration, and problem-solving skills with the ability to work independently in a remote-first setting
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Benefits

• Competitive salary ranging from CAD $149,500 to $179,500 based on experience and qualifications
• Equity participation opportunities
• Comprehensive medical, dental, vision, life, and disability coverage
• Retirement savings program with employer contributions
• Employee Assistance Program (EAP) supporting mental health and wellbeing
• Flexible paid time off policy
• Company-wide wellness and recharge days throughout the year
• Learning and professional development programs
• Remote work equipment, tools, and reimbursement support
• Complimentary premium membership offering additional product-related benefits