Tech Stack

Description

As a Data Engineer on the Safety and Customer Care team at Lyft, you will own the data modeling and pipelines that power the Associate and AI Agent Platform. Your work will be critical for pipeline reliability, third-party data integrations, agent performance reporting, and efficiency improvements that can save millions annually. You'll collaborate cross-functionally to enable business and user behavior insights across Analytics, Data Science, and Engineering teams.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
• 4+ years professional experience in data engineering with large-scale distributed systems
• Strong skills in Spark, Python, and SQL performance tuning
• Experience with AWS, Hadoop/S3, Hive, Presto, Airflow
• Solid understanding of ETL processes, workflow orchestration, and data warehousing

Responsibilities

• Owner of core data pipeline, scaling data processing flow
• Evolve data model and schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools for self-service data pipeline management (ETL)
• SQL and MapReduce job tuning for performance improvement