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Senior Data Engineer, Corporate Data and Analytics

Job in Toronto, Ontario, C6A, Canada
Listing for: Lyft
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 136000 CAD Yearly CAD 136000.00 YEAR
Job Description & How to Apply Below
Senior Data Engineer, Corporate Data and Analytics  Join to apply for the  Senior Data Engineer, Corporate Data and Analytics  role at  Lyft .
At Lyft, our purpose is to serve and connect. We aim to cultivate a work environment where all team members belong and have the opportunity to thrive. 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

Leadership & System Ownership

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 (Product, Analytics, Data Science, and Business) to align on data needs and project priorities and deliver reliable data workflows.

Engineering & Operational Excellence

Architect and build scalable batch and real-time data pipelines, ensuring data quality, security, and governance using Apache Airflow 2.0 and Astronomer.

Lead architectural reviews and propose improvements to reduce complexity and operational burden.

Drive post-incident investigations and lead efforts to resolve challenging issues and complete all resulting action items.

Champion investments in architecture, observability, performance, and tooling to improve our systems and processes.

Develop and optimize DAGs for reliability, performance, and maintainability.

Planning & Execution

Propose new projects and assist in prioritization, leveraging your deep understanding of the business and data needs.

Break down complex work into manageable features and milestones, aligning dependencies for seamless execution.

Deliver high-quality code and provide actionable, constructive feedback in code reviews.

Create and promote thorough documentation of systems, designs, and processes to support knowledge sharing and onboarding.

Experience

Required

5+ years of experience in data engineering and data platforms, particularly 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 Dev Ops.

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 governance.

Track record of mentoring and leading other engineers, driving project execution, and collaborating with cross-functional partners.

Preferred

Experience with Graph databases, Vector databases, and Conversational analytics.

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

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

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to…
Position Requirements
10+ Years work experience
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