Senior Data Engineer Hybrid Role at Lyft
Posted
Summary
Senior Data Engineer on Lyft's Mapping team (hybrid in Toronto), owning data pipeline architecture that powers routing and travel estimations. Day-to-day involves technical design leadership, evolving data models, building AI tools for ETL/schema optimization, and code reviews using Kafka, Kubernetes, SQL, and cloud infrastructure.
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 standards
Requirements: • Bachelor’s degree in Computer Science, Engineering, or equivalent • At least 5 years in large-scale distributed systems • Strong background in SQL and data quality tools • Experience with workflow orchestration and cloud infrastructure • Proven communication skills for stakeholder engagement
Bring your technical skills to Lyft and help create transformative data solutions for our users.
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 standards
Requirements: • Bachelor’s degree in Computer Science, Engineering, or equivalent • At least 5 years in large-scale distributed systems • Strong background in SQL and data quality tools • Experience with workflow orchestration and cloud infrastructure • Proven communication skills for stakeholder engagement
Bring your technical skills to Lyft and help create transformative data solutions for our users.
