Responsibilities
Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
Design and implement scalable data models to support analytics, targeting, and measurement use cases.
Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
Learn and grow through mentorship, documentation, and regular team collaboration.
Experience
BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
2+ years of industry experience in backend or data engineering roles
Proficiency in at least one backend programming language (e.g., Python, Go, Java)
Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
Experience with Linux.
Benefits
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 with company match 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 and Lyft ride credits
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, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
