About the company
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.
Responsibilities
- Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale.
- Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions.
- Continuously evolve data models and schemas to meet business and engineering requirements.
- Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and 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 across the team.
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, and 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), with 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 to diagnose and resolve issues in complex datasets.
- Experience with workflow orchestration (e.g., Airflow, Prefect) and 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 while collaborating effectively across teams.
Bonus: Experience with LLM orchestration or vector databases, or with experimentation/simulation platforms and A/B testing infrastructure at scale.
Conditions
- 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.
- 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.