Data Engineer, Lyft
Experimentation
CA$98-135k
More information about location
3 days a week in office
Ride sharing company
Job no longer available
Ride sharing company
1001+ employees
Job no longer available
CA$98-135k
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
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
- 3+ years of relevant professional experience
- Strong experience with Spark and SQL
- Strong skills in a scripting language (Python, Bash, etc)
- Experience with some of the following: Trino, Spark, Python, Airflow (orchestration), Hive Metastore, PostgreSQL, AWS services (S3, RDS, Elasticache, IAM)
- Experience building complex data models and pipelines
- 2+ years of experience with workflow management tools (Airflow or similar)
- Nice to have 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
- Joining Lyft as a Data Engineer means becoming a pivotal part of a team dedicated to shaping the future of transportation
- You'll be tasked with developing robust data infrastructure—encompassing data transport, collection, and storage—and providing services that enable our leadership to make informed, risk-reducing decisions
- We are looking for a Data Engineer to join Lyft’s Experimentation and Metric Platform team
- You will proactively propose new ideas, evaluate multiple approaches and choose the best one based on fundamental qualities and supporting data. Working along a talented team of cross-functional collaborators, you will architect, build, and launch scalable data pipelines to power result generation for all of Lyft's experiments and the computation of its core business metrics
- The system you build will support the company’s growing data processing and analytics needs and allow access to business and user behavior insights, using huge amounts of Lyft data to fuel various teams such as Analytics, Data Science, Engineering, and many others
- Our Data technology stack includes Airflow, Hive Metastore, Trino and Spark compute engines, and Python (for ETL)
- You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers
- Architect and design data pipelines to power metric result generation for a suite of experimentation types, be 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 and adopt systems tracking data quality and consistency
- Propose and develop tools supporting self-service data pipeline management (ETL)
- Demonstrate familiarity with ML models productionization and server-side programming
- SQL and PySpark job tuning to improve data processing performance
- Build well-crafted, well-tested, readable, maintainable code with data infrastructure cost and scalability in mind
- Participate in code reviews to ensure code quality and distribute knowledge
- Participate in on-call rotations to ensure high availability and reliability of workflows and data
- 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 trialled 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, whilst the acquisition of European competitor Freenow could add 6 million new riders to its platform in 2026.
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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