Join Lyft as a Data Engineering Expert, focusing on the Mapping team. Utilize your extensive experience in data systems while working in a collaborative office environment in Toronto. As a Senior Software Engineer, you will define the long-term technical strategy for Lyft’s offline experimentation and simulation systems. Collaborating closely with engineers, product managers, and data scientists, you will contribute significantly to enhancing the reliability and accuracy of routing services.

Your role entails building scalable data pipelines and ensuring data governance processes are up to par with Lyft’s ambitions. Key Responsibilities:

- Lead core data pipeline management and SLAs
- Architect offline experimentation platforms and route simulations




- Adapt data models for evolving engineering requirements
- Create AI-driven tools for productive data management
- Conduct code and architecture reviews for knowledge sharing

Requirements:

- Bachelor’s degree in Computer Science or related field
- 5+ years in large-scale distributed data systems
- Proficient in SQL and Spark
- Experience with data governance tools
- Strong communication skills for cross-team collaboration

Drive impactful data engineering initiatives at Lyft and help enhance millions of rides.

📌 Data Engineering Expert at Lyft - Mapping (Toronto)
🏢 Socket.dev
📍 Toronto