Data Engineer (AI)

TL;DR

Data Engineer (Python/Spark): Building and scaling end-to-end data products and a self-service analytics platform with an accent on data modeling and scalable pipelines. Focus on transforming raw data into actionable insights, integrating AI to accelerate workflows, and ensuring data quality and governance.

Location: Hybrid in Vancouver, Canada (Office-centric schedule: Monday, Tuesday, and Thursday in-office)

Salary: CAD $138,000 - $168,000

Company

hirify.global is a leading platform for human + AI collaboration used by millions of teams worldwide to achieve their goals.

What you will do

• Design, implement, and scale end-to-end data products to support growing analytical needs.
• Transform raw data into actionable insights to drive product strategy and reporting.
• Leverage AI to build self-serve tools and accelerate Data/GTM workflows.
• Partner with data scientists, domain experts, and engineering teams to develop a business-aligned roadmap.
• Implement systems to guarantee data quality, governance, and availability.

Requirements

• 5+ years of experience in Data Engineering or Software Engineering.
• Experience in data modeling and building scalable data pipelines with complex transformations.
• Proficiency in Databricks, AWS/S3, Python, Scala, Java, SQL, Spark, and Airflow.
• Must be based in Vancouver, Canada to maintain the office-centric hybrid schedule.
• Ability to proactively identify and address performance bottlenecks in existing workflows.

Nice to have

• Curiosity about AI tools and emerging technologies with a willingness to leverage them for productivity and decision-making.

Culture & Benefits

• Mental health, wellness, and fitness benefits.
• Career coaching and professional support.
• Inclusive family building benefits.
• Long-term savings and retirement plans.
• In-office culinary options catering to various dietary preferences.