Data Engineer, Data Foundations

About this role

Cohere seeks a Data Engineer to build foundational data infrastructure supporting the company's enterprise AI platform. You'll design and maintain production-grade data systems that power analytics, customer experiences, and strategic decision-making across the organization.

What you'll do

• Design and implement production-grade data processing systems handling unstructured and structured data at scale
• Build end-to-end data pipelines and ETL workflows using distributed processing frameworks
• Collaborate with researchers, engineers, and business teams to translate data insights into product and strategy recommendations
• Develop performant datasets in relational databases and cloud storage systems
• Maintain and optimize modern analytics infrastructure and tooling
• Own implementations from conception through delivery and measurable outcomes

What they're looking for

• Python and SQL
• Apache Beam, Spark, or Flink
• BigQuery, Airflow, or dbt
• Large-scale data system design
• Data transformation and pipeline development
• Java or Golang (preferred)
• Kubernetes (preferred)
• AI/ML domain knowledge

Benefits

• $75 weekly lunch stipend
• Comprehensive health, dental, and mental health coverage
• 6 weeks paid vacation (30 working days)
• 100% parental leave top-up for up to 6 months
• Education and learning stipend for professional development
• Home office stipend ($500) and remote-friendly work environment