Data Engineer, Data Foundations

Highlights

• Build foundational infrastructure defining how the world deploys AI.
• Launch new customer experiences built on cutting-edge AI systems.
• Partner across research, sales and finance to shape product strategy.

What they offer

• Equity
• Weekly $75 lunch stipend
• Full health and dental benefits including mental health budget
• RRSP / 401K / Pension matching
• 100% parental leave top-up for up to 6 months
• 6 weeks paid vacation (30 working days)
• $500 home office stipend
• Co-working benefit and annual company offsite
• Annual enrichment, education and workspace benefits

Ideal candidate

A curious builder who thrives in ambiguity and cares deeply about frontier AI's enterprise impact. You enjoy owning end-to-end work alongside world-class researchers.

Requirements

• 5+ years of experience working on production-grade data processing systems
• Strong command of Python and SQL
• Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink, alongside large-scale data system design
• Ability to transform unstructured data into performant datasets in relational databases and blob storage
• Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt
• Knowledge of Java or Golang (nice to have)
• Experience with Kubernetes (nice to have)
• Genuine excitement about AI
• Comfort operating at the edge of what's known