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About the Role

As a Senior Data Engineer on the Mapping team, you will collaborate with engineers, product managers, and scientists to improve recommended routes and travel time estimations. You will lead the architecture and technical direction of offline experimentation tooling and route simulation services, and build scalable data pipelines for experimentation, analytics, and machine learning models. Your work will enable data-informed decisions impacting Lyft’s growth and profitability.

Responsibilities

Own core data pipelines end-to-end, building subject matter expertise and defining/managing SLAs for pipelines, services, and datasets.
Serve as the technical owner and architectural lead for offline experimentation platform and route simulation services, setting technical direction and ensuring scalability.
Continuously evolve data models and schemas to meet business and engineering requirements.
Develop AI tools for self-service management of data pipelines (ETL) and schema evolution.
Perform hands-on SQL tuning to optimize data processing performance.
Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency.
Participate in code and architecture reviews to ensure code quality and distribute knowledge.
Manage on-call rotations and proactively improve team processes.
Mentor others, give brown bags, and promote engineering best practices.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
5+ years of professional experience in backend or data engineering with large-scale distributed systems.
Strong experience with Spark.
Experience with a scripting language (Python, Ruby, Bash).
Experience with distributed storage, querying, and streaming technologies (e.g. Clickhouse, Hive, Presto, Delta, Iceberg, Kafka).
Strong SQL skills (MySQL, PostgreSQL or similar).
Experience conducting advanced performance tuning and querying high volume events data (e.g. geospatial, behavioural).
Strong data quality instincts, with hands-on experience using tools like dbt, Great Expectations, or Monte Carlo.
Experience with workflow orchestration (e.g., Airflow, Prefect).
Experience with infra tooling (e.g., Terraform, Docker, Kubernetes), preferably in an AWS context.
Experience designing API schemas and building backend services in a microservices architecture.
Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows.
Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences.
Collaborate effectively across teams.

Skills

Spark
Python
Ruby
Bash
Clickhouse
Hive
Presto
Delta
Iceberg
Kafka
SQL
dbt
Great Expectations
Monte Carlo
Airflow
Prefect
Terraform
Docker
Kubernetes
AWS
API schema design
Microservices architecture
AI tools (Copilot, Claude Code, Cursor)
LLM orchestration (Bonus)
Vector databases (Bonus)
Experimentation platforms (Bonus)
Simulation platforms (Bonus)
A/B testing infrastructure (Bonus)

Location

Toronto

Work Type

Hybrid

Experience Level

Senior
5+ years of professional experience

Education Level

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

Salary/Compensations

CAD $136,000 - CAD $170,000

Benefits

Extended health and dental coverage options
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Lyft funded Health Care Savings Account
RRSP plan with company match
Flexible paid time off policy (salaried team members)
15 days paid time off + additional day per year of service (hourly team members)
18 weeks of paid parental leave (top-up plan)
Subsidized commuter benefits
Lyft ride credits

About the Company

Lyft's purpose is to serve and connect.
Lyft aims to cultivate a work environment where all team members belong and have the opportunity to thrive.
Technology stack includes AWS, Databricks, Kubernetes and Airflow.
Work with passionate and talented colleagues from software engineering, machine learning and data science.
Projects directly impact millions of riders and drivers.

Equal Opportunity

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.