About the role

Role Overview

Join Cohere’s Analytics & Data Insights team as a Data Engineer. You’ll build foundational data and storage infrastructure that supports product launches and enterprise experiences around AI capabilities.

Responsibilities

Work on storage infrastructure and data pipelines powering AI-driven product launches and customer experiences
Run end-to-end implementations and drive initiatives to measurable outcomes
Collaborate daily with researchers and engineers to deliver production-grade data processing
Partner across research, marketing, sales, and finance to inform growth strategy with data recommendations

Requirements

5+ years building production-grade data processing systems
Strong command of Python and SQL
Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
Ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX

Nice to Have

Experience with modern orchestration platforms, especially Kubernetes
Familiarity with analytics tooling such as BigQuery, Airflow, or dbt
Knowledge of Java or Golang

Additional Signals

Strong curiosity and excitement about AI research, with willingness to operate at the edge of what’s known
Enjoys hands-on problem solving and building new systems rather than only optimizing existing ones

Perks (Highlights)

Full-time benefits including health/dental and mental health budget
100% parental leave top-up (up to 6 months)
Remote-flexible work with offices in multiple cities and coworking stipend
6 weeks vacation and weekly lunch stipend

About Cohere

Cohere builds and deploys frontier AI models for developers and enterprises, enabling applications like content generation, semantic search, RAG, and agents. The company brings together researchers, engineers, and designers to scale intelligence and drive real customer value through advanced AI infrastructure.

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