Описание

Lyft is hiring a Data Engineer in Toronto to own data modeling and pipelines for the Safety and Customer Care platform. The role focuses on ETL, data quality, performance tuning, and self-service data pipeline management. It uses Spark, Python, SQL, and AWS-based data tools.

Responsibilities

Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
Evolve data model and data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
SQL and MapReduce job tuning to improve data processing performance
Write well-crafted, well-tested, readable, maintainable code
Participate in code reviews to ensure code quality and distribute knowledge
Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

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 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
A collaborative mindset

We offer

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
Flexible paid time off policy (with manager approval) for salaried team members
15 days paid time off for hourly team members, with an additional day for each year of service
18 weeks of paid time off for new parents (biological, adoptive, and foster parents are all eligible)
Subsidized commuter benefits and Lyft ride credits
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
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
Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year

Hiring process

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions