Senior Data Engineer (AI Systems)

Location: Toronto, Canada

Salary: CAD 144,000–188,000 per year, plus a potential bonus and benefits.

Company

hirify.global provides content personalization for marketers through data-activated content generation and AI decisioning.

What you will do

• Build, maintain, and optimize production data pipelines for AI-driven personalization, including content selection, send-time optimization, subject line personalization, and frequency capping.
• Own and scale Spark-based batch pipelines on GCP Dataproc, including cluster configuration, tuning, and performance optimization.
• Build and maintain the ML Data Lake with strong data quality, accessibility, and storage efficiency.
• Support ML engineers and scientists with data for model development, training, and evaluation.
• Identify performance bottlenecks and scaling limitations across data pipelines and infrastructure.
• Collaborate with distributed systems engineers to evolve the platform architecture and deliver reliable data products.

Requirements

• 5+ years of data engineering experience.
• Deep expertise with Apache Spark and the PySpark DataFrame API, including solving complex scaling problems.
• Experience with large-scale data processing, cluster configuration, optimization, and tuning on GCP Dataproc.
• Strong Python software development skills, including unit testing, Git, code review, and CI/CD.
• Experience with Parquet, Delta Lake, Kafka, and Google Cloud Platform.
• Familiarity with advanced query optimization, Docker, Kubernetes, GitHub Actions, and automated deployment.

Culture & Benefits

• Collaborative work with ML engineers, scientists, distributed systems engineers, and other technical teams.
• Opportunity to work on large-scale systems powering billions of AI-driven marketing decisions.
• Medical, financial, and other benefits are provided.
• Commitment to an inclusive and diverse workplace.