Cohere
Senior
Build data infrastructure for Cohere's Analytics & Data Insights team
A Data Engineer role on Cohere's Analytics & Data Insights team, turning unstructured data into performant datasets and partnering across research, marketing, sales, and finance. Requires 5+ years building production-grade data processing systems, strong Python/SQL, and experience with distributed processing frameworks (Beam, Spark, or Flink) and modern analytics tooling (BigQuery, Airflow, dbt).
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What this interview tests
- Distributed data processing (Beam/Spark/Flink) and large-scale system design
- Transforming unstructured data into performant, structured datasets
- Modern analytics stack: BigQuery, Airflow, dbt
- End-to-end ownership from data to business/product outcome
- Cross-functional partnership with research, sales, marketing, finance
Common question themes
Design a pipeline that turns unstructured data into a performant dataset — what tools and why?
How would you choose between Apache Beam, Spark, and Flink for a given workload?
Tell me about an end-to-end data initiative where your recommendation shaped a product or strategy decision
How do you structure orchestration (e.g., Airflow) and modeling (e.g., dbt) as requirements evolve fast?
Describe partnering with a research team whose data needs aren't fully defined yet
What excites you about working on data foundations for frontier AI systems?
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