Become a Senior Data Engineer with Lyft’s Mapping team, where you'll lead efforts in improving routing algorithms and data pipeline efficiency. This hybrid role fosters innovation through collaboration.This experienced position requires you to guide the technical design and implementation of critical data systems, working closely with data scientists and software engineers. You will utilize tools like Kafka and Kubernetes while enhancing data integrity and enabling impactful business decisions. Your expertise will support Lyft's commitment to delivering accurate travel estimations.Key Responsibilities:
Own and oversee core data pipeline architecture
Serve as the technical lead for experimental development
Evolve and adapt data models based on business needs




Develop AI tools for ETL and schema optimization
Engage in code reviews to ensure quality standardsRequirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent
At least 5 years in large-scale distributed systems
Solid background in SQL and data quality tools
Experience with workflow orchestration and cloud infrastructure
Proven communication skills for stakeholder engagementBring your technical skills to Lyft and help create transformative data solutions for our users.#J-18808-Ljbffr

📌 Senior Data Engineer Hybrid Role At Lyft Toronto
🏢 Socotra
📍 Toronto