Senior Data Engineer, Corporate Data and Analytics

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. 

We believe that our data is one of our greatest assets, and the insights we derive from it are crucial to our success. The Corporate Data and Analytics team’s mission is to enable trusted Analytics, Data Science, and AI for all Corporate functions, including Finance, Marketing, People, and Enterprise.

As a Senior Data Engineer, you will be a key technical leader on the team, owning the design, development, and operation of our critical data systems. You will drive engineering and operational excellence across the team, ensuring our data assets are high-quality, secure, and accessible for a variety of use cases.

Responsibilities:

• Lead the design, development, and operation of key data systems and pipelines, taking full ownership from ideation to production.
• Mentor junior engineers on best practices for data engineering, testing, and operational excellence.
• Drive collaboration with cross-functional partners to align on data needs, project priorities, and deliver reliable data workflows.
• Architect and build scalable batch and real-time data pipelines, ensuring data quality, security, and management.
• Lead architectural reviews and propose improvements to reduce complexity and operational burden.
• Drive post-incident investigations and lead efforts to resolve challenging issues.
• Champion investments in architecture, observability, performance, and tooling.
• Develop and optimize DAGs for reliability, performance, and maintainability.
• Propose new projects and assist in prioritization.
• Break down complex work into manageable features and milestones.
• Deliver high-quality code and provide constructive feedback in code reviews

Experience:

• 5+ years of experience in data engineering and data platforms, especially with cloud technologies like AWS, Databricks, and Snowflake.
• Expert-level proficiency in Python and SQL.
• Extensive experience with big data compute and storage technologies (e.g., Spark, Trino, Hive, Cloud Storage).
• Proven ability to apply full-scale software development practices to data, including test automation, CI/CD, and DevOps.
• Deep understanding of analytic and data needs within corporate functions like Finance, Marketing, Sales, and People.
• Expertise in creating and implementing frameworks and APIs for automating data management and management.
• Track record of mentoring and leading other engineers, driving project execution, and collaborating with cross-functional partners.
• Knowledge of Semantic models, unstructured data management and ontologies.
• Preferred: Experience with Graph databases, Vector databases, and Conversational analytics.
• Preferred: Background in building Agentic applications for data engineering and operations.

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 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