Job Description

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.



We believe that our data is one of our greatest assets, and the insights we derive from it are crucial to our success. The Corporate Data and Analytics team's mission is to enable trusted Analytics, Data Science, and AI for all Corporate functions, including Finance, Marketing, People, and Enterprise.



As a Level 4 Data Engineer, you will be responsible for independently owning and delivering features and small projects that support our team's goals. You will own key components of our data systems, ensuring they are reliable, scalable, and well-maintained.

Responsibilities:

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Feature and Project Ownership

+ Independently own and deliver features and small projects on data engineering, from design to deployment, that advance the team's goals.
+ Take responsibility for the development, operation, and maintenance of specific components within our data ecosystem.

Engineering & Operational Excellence

+ Contribute to investments that improve code quality, reduce technical debt, and modernize our technology stack.
+ Write reliable, performant, and scalable code.
+ Ensure comprehensive testing for your features, including unit and end-to-end tests.
+ Monitor the stability of your deployed code, proactively identifying and fixing bugs.
+ Contribute to the team's operational responsibilities, including on-call rotations and SEV handling, and propose improvements to processes.
+ Develop and optimize DAGs for reliability, performance, and maintainability using Apache Airflow 2.0 and Astronomer.

Planning & Collaboration

+ Accurately evaluate and estimate the effort for assigned tasks and features.
+ Participate in roadmapping discussions and provide valuable feedback.
+ Write clear technical documentation and runbooks for your work.
+ Lead with support as needed in code reviews, post-mortems, and planning discussions.
+ Collaborate with cross-functional partners (Product, Analytics, and Data Science) to understand data needs and deliver solutions and reliable data workflows

Experience:

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Required

+ 5+ years of experience in data engineering and data platforms, particularly with cloud technologies like AWS, Databricks, and Snowflake.
+ Proficiency in Python and SQL.
+ Experience with big data compute and storage technologies (e.g., Spark, Trino, Hive, Cloud Storage).
+ Experience in applying software development practices to data, including testing and CI/CD.
+ A good understanding of analytic and data needs within corporate functions.
+ Experience in creating and implementing frameworks and APIs for automated data management and governance.
+ Proven ability to deliver features independently and collaborate effectively with others.

Preferred

+ Experience with Graph databases, Vector databases, and Conversational analytics.
+ Experience in building Agentic applications for data engineering and operations.

Benefits:

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Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.



Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule -- Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid



The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.