Data Engineer, LUS

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. 

Here at Lyft, Data powers all the decisions we make. It is the core of our business, helping us create a great transportation experience for our customers and providing insights into the effectiveness of our services and products.

This team focuses on supporting our business by building the data transport, collection, and storage that powers our Lyft Urban Solutions business. We are looking for a Data Engineer to build scalable solutions, leveraging their data expertise and our technology stack to provide timely, accurate data for our internal and external customers. You will have the opportunity to build and scale the data of our global micromobility platform. This role will involve collaborating with product managers, external stakeholders, GMs, engineers, and data scientists to gather and translate requirements into solutions, ensuring that data-driven decisions are at the core of our business.

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
• 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

Experience:

• 3+ years of relevant professional experience in data engineering or a related field
• Strong expertise in SQL and experience with Trino or Spark/PySpark
• Experience building and optimizing complex data models and pipelines with a strong understanding of ETL processes
• Expertise in data modeling and ETL, with experience developing and optimizing complex data models and pipelines
• Hands-on experience with workflow management tools (e.g., Airflow or similar)
• Proficiency in a scripting language like Python or Bash
• Comfortable working directly with cross-functional teams (data analytics, data science, engineering) to align solutions with business goals

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 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 $136,000 - CAD $170,000. 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.