2 months ago
Toronto, CanadaSenior
Responsibilities
- Own core data pipelines end-to-end and define and manage SLAs for pipelines, services, and datasets.
- Lead the architecture and long-term technical direction of the offline experimentation platform and route simulation services.
- Evolve data models and schemas to meet business and engineering requirements.
- Develop AI-assisted tools for self-service ETL pipeline management and schema evolution.
- Perform hands-on SQL tuning and optimize data processing performance, scalability, and cost efficiency.
- Write clean, well-tested, maintainable code and participate in code and architecture reviews.
- Manage on-call rotations and improve team processes.
- Mentor engineers, present brown bags, and promote engineering best practices across the team.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- At least 5 years of professional backend or data engineering experience with large-scale distributed systems.
- Strong experience with Spark and a scripting language such as Python, Ruby, or Bash.
- Experience with distributed storage, querying, and streaming technologies such as ClickHouse, Hive, Presto, Delta, Iceberg, or Kafka.
- Strong SQL skills with MySQL, PostgreSQL, or similar databases, including advanced performance tuning and high-volume event-data querying.
- Hands-on experience with data quality tools such as dbt, Great Expectations, or Monte Carlo.
- Experience with workflow orchestration such as Airflow or Prefect and infrastructure tooling such as Terraform, Docker, or Kubernetes, preferably in AWS.
- Experience designing API schemas and building backend services in a microservices architecture.
- Proficiency using AI tools such as Copilot, Claude Code, or Cursor to accelerate engineering workflows.
- Ability to communicate technical concepts clearly to technical and non-technical audiences and collaborate across teams.
- Experience with LLM orchestration, vector databases, experimentation or simulation platforms, or large-scale A/B testing infrastructure is a bonus.
Benefits
- Extended health and dental coverage, life insurance, disability benefits, and mental health benefits.
- Family building, child care, and pet benefits.
- Lyft-funded Health Care Savings Account.
- RRSP plan with company match.
- Flexible paid time off for salaried employees and 15 days of paid time off for hourly employees, with additional days based on service.
- Eighteen weeks of paid parental leave top-up for biological, adoptive, and foster parents.
- Subsidized commuter benefits and Lyft ride credits.
- Hybrid Toronto schedule requiring at least three office days per week on Mondays, Wednesdays, and Thursdays, with flexibility to work from anywhere for up to four weeks per year.
Tech Stack
Apache AirflowApache HiveApache KafkaApache SparkAWSBashClickHouseDatabricksdbtDockerKubernetesMySQLPostgreSQLPrestoPythonRubySQLTerraform
Categories
BackendData 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.