About the Job
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.
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of...
Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.
Key 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
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
Qualifications
Experience:
5 years experience
Education:
Bachelor
