Join Lyft as a Data Engineer on a hybrid schedule, focusing on developing robust data pipelines and innovative data solutions. Your expertise will enhance transportation insights and support product success.

This role requires collaboration with cross-functional teams, including Analytics and Data Science, to design and refine data architectures. You will take ownership of data pipeline performance and quality by implementing monitoring systems and optimizing SQL processes. Writing clean, scalable code and participating in code reviews are essential to maintaining standards and achieving team goals.

Key Responsibilities:
• Manage core data pipelines to ensure resilience and timeliness
• Design data models that align with engineering requirements
• Maintain tools for data quality monitoring and improvement
• Contribute to the technical roadmap of data engineering
• Engage with partners to streamline data workflows

Requ...