Data Engineer, Lyft
Central Data
$124-155k
More information about location
3 days a week in office
Ride sharing company
Open for applications
Ride sharing company
1001+ employees
Open for applications
$124-155k
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
- We are looking for candidates who are self starters and have a proven track record of delivering data solutions that can solve critical business needs
- The candidate should be able to dive deep into any problems with lots of ambiguity and build a technical solution to solve it
- They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation
- 3+ years of data engineering industry experience
- Experience with Data (or similar) Ecosystem (Spark, Trino, Snowflake, Bigquery, Databricks)
- Strong skills in a scripting language (Python, Bash)
- Good understanding of SQL Engine and able to conduct advanced performance tuning
- 1+ years of experience with workflow management tools (Airflow, Dagster, Prefect, Glue)
- Experience of working directly with cross-functional data analytics, data scientists, and engineering teams to bridge Lyft’s business goals with data engineering
What the job involves
- At Lyft, data isn't just part of our decision-making process; it's the foundation. It drives our ability to deliver exceptional transportation experiences and offers insights into the impact of our product launches and features
- Joining Lyft as a Data Engineer means becoming a pivotal part of a team dedicated to shaping the future of transportation
- Ou'll be tasked with developing robust data pipelines—encompassing data transport, collection, and storage—and providing services that enable our leadership to make informed, risk-reducing decisions
- We are in search of a Data Engineer to join the Central Data Engineering Team within Data Platform, responsible for designing and managing the most foundational datasets at Lyft (Rides, Routes, Sessions)
- These datasets drive key parts of the Lyft business and support a variety of use cases, including but not limited to Pricing, Mapping, and Marketplace
- As a Data Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables
- You will design, develop, test, deploy, maintain, and enhance the data pipelines. Your work will have a major impact on several areas of the business
- Owner of the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
- Evolve data model and data schema based on business and engineering needs
- Implement systems tracking data quality and consistency
- Develop tools supporting self-service data pipeline management (ETL)
- SQL and Spark/Trino job tuning to improve data processing performance
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Unblock, support and communicate with internal & external partners to achieve results
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
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
Articles
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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