Lyft1mo ago

Data Engineer, Autonomous Vehicles

Torontomid

OtherData EngineeringData EngineerDataData & AIAutonomous Vehicles

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Quick Summary

Key Responsibilities

Build and maintain reliable,

Technical Tools

OtherData EngineeringData EngineerDataData & AIAutonomous Vehicles

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.

Lyft AV brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs today. The program is powered by a technical team innovating to build new features, experiment, and evolve approaches for emerging business needs. At the same time, we prioritize production quality because our customers put their trust in us for safety and reliability.

To strengthen our efforts, we are hiring a Data Engineer to help us make data driven decisions. Data Engineering is at the heart of Lyft’s products and decision-making. As a Data Engineer at Lyft, you will be tasked with developing robust data infrastructure—encompassing data transport, collection, and storage—and providing services that enable our leadership to make informed, risk-reducing decisions.

You will help architect, build, and launch scalable data pipelines to support Lyft’s growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.

Responsibilities

~1 min read

→Build and maintain reliable, scalable data pipelines supporting driver insights and trip routing
→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 tools and real-time analytics pipelines
→Collaborate cross-functionally with product, engineering, and data science teams

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
3+ years of 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—you’re comfortable working across teams to solve real-world problems

What We Offer

~3 min read

✓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