Join Lyft as a Data Engineer and contribute to the Safety and Customer Care team’s cutting-edge analytics. Enjoy the flexibility of a hybrid work model while optimizing data pipelines.
In this role, you'll be pivotal in managing data modeling and building the data infrastructure for SCC. This will empower AI agent performance and enhance the reliability of data processes crucial to Lyft's operations. Collaboration with product, engineering, and marketing teams will be essential for aligning data solutions with business objectives.
Key Responsibilities:
• Manage and scale data processing flows effectively
• Adapt data models and schemas for business insights
• Implement systems to ensure data quality




• Create self-service data pipeline management tools
• Tune SQL and MapReduce jobs for optimization
Requirements:
• Bachelor's in Computer Science or a related discipline
• 4+ years of extensive data engineering experience
• Expertise in Spark, Python scripting, and SQL
• Familiarity with AWS, Hadoop ecosystems, and Airflow
• Strong grasp of ETL processes and data orchestration
Leverage your technical skills to transform Lyft's Safety and Customer Care data initiatives.
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📌 Lyft Data Engineer Hybrid Role (Toronto)
🏢 Lyft
📍 Toronto