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.
The Growth Products team at Lyft focuses on acquiring and resurrecting riders and drivers efficiently to grow the business and balance the marketplace. We handle critical infrastructure to execute, manage, and optimize growth campaigns for the entire company and move quickly to test and develop new products.
As a Data Engineer on the Growth Products team, you will have ownership over the data modeling and pipelines that power Lyft's growth campaigns and infrastructure. Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of campaign performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering.
Responsibilities:- Build and maintain reliable, scalable data pipelines supporting Growth use cases
- Improve data models and schema design to meet evolving engineering and business needs
- Monitor and improve data quality, consistency, and performance
- Support internal users with self-serve ETL partner tools and real-time analytics pipelines
- Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions
- 3+ years of experience in data engineering, ideally with large-scale distributed systems
- Strong skills in PySpark, Python (or similar scripting language), and SQL performance tuning
- Experience with AWS, S3, Presto, Airflow, and related tools
- Solid understanding of ETL processes, workflow orchestration, and data warehousing
- Comfortable working cross-functionally to solve real-world problems
- 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 $108,000 - $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.
