3 months ago
Toronto, CanadaMid Level
Responsibilities
- Own and scale the core data pipeline to support Lyft’s rapid data growth.
- Evolve data models and schemas based on business and engineering needs.
- Implement systems that track data quality and consistency.
- Develop self-service tools for ETL and data pipeline management.
- Tune SQL and MapReduce jobs to improve data processing performance.
- Write well-tested, readable, maintainable code and participate in code reviews.
- Collaborate with product, engineering, data science, and marketing teams on problem-solving and prioritization.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
- Strong skills in Spark, Python or a similar scripting language, and SQL performance tuning.
- Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools.
- Solid understanding of ETL processes, workflow orchestration, and data warehousing.
- Ability to collaborate across teams to solve real-world problems.
Benefits
- Extended health and dental coverage, life insurance, disability benefits, mental health benefits, family building benefits, child care benefits, and pet benefits.
- Lyft-funded Health Care Savings Account and RRSP plan with company match.
- Flexible paid time off for salaried team members; hourly team members receive 15 days plus an additional day per year of service.
- 18 weeks of paid parental leave through a top-up plan for biological, adoptive, and foster parents.
- Subsidized commuter benefits and Lyft ride credits.
- Hybrid Toronto schedule requiring at least three office days per week, including Mondays, Wednesdays, and Thursdays, with up to four weeks per year working from anywhere.
Tech Stack
Categories
Data Engineering
About Lyft
Lyft is a NASDAQ-listed transportation marketplace that connects riders with drivers and offers bike and scooter rentals in one app. Founded in 2012 and headquartered in San Francisco, it operates across the U.S. and parts of Canada. Its revenue comes from service fees on rides and rentals, enterprise programs, and consumer subscriptions such as Lyft Pink.