Description
This is a core backend software engineering role within Lyft's Mapping organization, focusing on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products.
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of travel time estimations. You will lead the architecture and long-term technical direction of offline experimentation tooling and route simulation services. Your work will enable integration with partner teams and allow stakeholders to make data-informed decisions that directly impact Lyft's growth and profitability.
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 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 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.
Experiences
- 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.
- 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 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.
Benefits:
- 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.
- Lyft is proud to support new parents with 18 weeks of paid time off.
- Subsidized commuter benefits and Lyft ride credits.