Senior Data Engineer, Lyft
Corporate Data and Analytics
CA$136-170k
More information about location
3+ days a week in office
Ride sharing company
Be an early applicant
Ride sharing company
1001+ employees
Be an early applicant
CA$136-170k
More information about location
3+ days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- 10+ 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 governance
- Track record of mentoring and leading other engineers, driving project execution, and collaborating with cross-functional partners
Desirable
- Experience with Graph databases, Vector databases, and Conversational analytics
- Background in building Agentic applications for data engineering and operations
What the job involves
- 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
- 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
- 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
- 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
Our take
Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.
Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.
In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Jun 2018
$600m
LATE VC
Mar 2018
$200m
LATE VC
Total funding: $4.9bn
Company benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Company HQ
China Basin, San Francisco, CA
Leadership
John Zimmer
(Co-Founder)Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.
Logan Green
(Co-Founder)Founded Zimride, a private ridesharing company which later pivoted into Lyft.
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