3 days ago
Base Salary
$239k - $280k/yr
Responsibilities
- Build and maintain PySpark data pipelines using a medallion architecture on Databricks, EMR Serverless, and Airflow.
- Implement sampling, triage weights, mileage sharing, projections, and statistical checks as tested and reproducible code.
- Build tools to reduce manual work in weekly evaluation runs.
- Collaborate with cross-functional stakeholders to apply methodology consistently in code and clearance reports.
- Adapt the evaluation system to new software release methodologies and geofences.
Requirements
- 7–9 years of experience, or 5+ years with a strong data-platform track record.
- Expert Python skills with production experience in PySpark/Spark and Pandas.
- Experience designing scalable batch data pipelines, including orchestration, Delta/lakehouse tables, and idempotent backfills.
- Strong applied-statistics knowledge covering sampling, weighting, estimators, and confidence intervals.
- Strong testing and CI practices for data code.
- Bonus: experience with autonomous-vehicle simulation, safety metrics, triage workflows, production ML model pipelines, Databricks, or AWS.
Tech Stack
Categories
Data Engineering
About Zoox
Zoox builds a fully autonomous, purpose-built electric vehicle and the end-to-end platform to operate it as an urban robotaxi service. The company designs the vehicle, self-driving software, and fleet operations in-house to offer mobility-as-a-service rather than selling cars. Founded in 2014 and headquartered in Foster City, California, Zoox is a subsidiary of Amazon.