Senior Data Engineer, Pickupxp
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What this role actually needs.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: - Owner of core company data pipelines, responsible for scaling up data processing flow to meet the rapid data growth at Lyft - Continuously evolve data models and schemas based on business and engineering requirements - Implement and maintain systems to monitor and enhance data quality and consistency - Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance - Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency - Conduct code reviews to ensure code quality standards and facilitate knowledge sharing Requirements: - Implement and maintain systems to monitor and enhance data quality and consistency - Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance - Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency - Conduct code reviews to ensure code quality standards and facilitate knowledge sharing - Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines - Collaborate with internal and external partners to remove blockers, provide support, and achieve results Company context: Lyft operates a large-scale mobility platform with engineering, data, security, and product hiring across major North America metros.
Day-to-day expectations
Lyft lists these responsibilities for the Senior Data Engineer, Pickupxp role.
- Owner of core company data pipelines, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
- Continuously evolve data models and schemas based on business and engineering requirements
- Implement and maintain systems to monitor and enhance data quality and consistency
- Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance
- Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency
- Conduct code reviews to ensure code quality standards and facilitate knowledge sharing
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Implement and maintain systems to monitor and enhance data quality and consistency
- Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance
- Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency
- Conduct code reviews to ensure code quality standards and facilitate knowledge sharing
- Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines
- Collaborate with internal and external partners to remove blockers, provide support, and achieve results
Why this listing is more than a copied job post.
Senior Data Engineer, Pickupxp is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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Current extracted signal: Canada residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
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On-site roles in Toronto should be compared against commute, local salary bands, and nearby employer demand.
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Source: app.careerpuck.com · Source ID: 8479543002 · Confidence: 91/100 · Last checked: May 7, 2026
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