Zoox is looking for Data Engineer Interns to build data pipelines and infrastructure to support autonomy development, transform data at scale for analytics, and design data models for key business domains.
Requirements
- Experience with big data technologies (Spark, Databricks, Airflow)
- Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)
- Familiarity with data warehousing and analytics platforms
- Experience with streaming data processing
- Understanding of ML infrastructure and feature stores
- Knowledge of data quality, monitoring, and observability tools
- Experience with large scale streaming platforms (e.g. Kafka, Kinesis) and storage engines (e.g. HDFS, HBase)
Responsibilities
- build data pipelines and infrastructure to support autonomy development
- Develop ETL pipelines for processing vehicle logs
- create data platforms for metrics computation (using Databricks, Spark, Ray)
- build visualization dashboards (Looker, Grafana, Databricks)
- work on managing run metadata and pipeline processing
- build, and maintain the pipelines that transform data at scale to support analytics throughout the company
- design and build data models for key business domains, such as autonomy, riders and fleet, simulation, etc.
Other
- Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program
- Must be returning to school to continue your education upon completing this internship
- Good academic standing
- Able to commit to a 12-week internship beginning in May or June of 2026
- At least one previous industry internship, co-op, or project completed in a relevant area
