About Lyft
The friendly ride-sharing alternative to Uber
Key Highlights
- Headquartered in San Francisco, CA
- Over 100 million rides completed
- $4.9 billion raised in funding
- Acquired PBSC Urban Solutions in 2022
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
🎁 Benefits
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
🌟 Culture
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Skills & Technologies
Overview
Lyft is hiring a Data Engineer to develop robust data infrastructure and scalable data pipelines. You'll work with technologies like AWS, Kubernetes, and Apache Airflow to support data processing and analytics needs. This role is essential for making data-driven decisions at Lyft.
Job Description
Who you are
You have a strong background in data engineering, with experience in developing data infrastructure that supports analytics and decision-making. You understand the importance of data transport, collection, and storage, and you are skilled in building scalable data pipelines that can handle large volumes of data. You are comfortable working with cloud technologies and have a solid understanding of data processing frameworks. You thrive in collaborative environments and are eager to contribute to a team that values data-driven insights.
Desirable
Experience with tools like Apache Airflow and Kubernetes is a plus, as is familiarity with AWS services. You have a keen interest in optimizing data workflows and ensuring data quality across various teams. You are proactive in identifying opportunities for improvement and are always looking for ways to enhance data accessibility and usability.
What you'll do
As a Data Engineer at Lyft, you will be responsible for architecting and building robust data infrastructure that supports the company's growing analytics needs. You will develop scalable data pipelines that process millions of rides, taking into account real-time traffic information and driver preferences. Your work will enable various teams, including Analytics, Data Science, and Engineering, to access critical business insights that drive decision-making. You will collaborate closely with cross-functional teams to ensure that data is collected, stored, and made accessible in a way that meets the needs of the organization.
You will also be involved in monitoring and maintaining the data infrastructure, ensuring that it operates efficiently and effectively. This includes troubleshooting any issues that arise and implementing solutions to improve performance. You will play a key role in shaping the data strategy at Lyft, helping to create tools and insights that enhance the driver experience and contribute to the overall mission of the company.
What we offer
Lyft offers a dynamic work environment where you can thrive and grow your career. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to making a positive impact on transportation. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to connect and serve millions of people every day.
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