The friendly ride-sharing alternative to Uber
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 ...
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Lyft is hiring a Data Engineer to develop robust data infrastructure and scalable data pipelines. You'll work with AWS, Kubernetes, and Apache Airflow to support data processing and analytics needs. This role is essential for making data-driven decisions at Lyft.
You have a strong background in data engineering, with experience in developing and maintaining data infrastructure that supports analytics and decision-making. You understand the importance of data transport, collection, and storage, and are skilled in building scalable data pipelines that can handle large volumes of data. You thrive in collaborative environments and enjoy working with cross-functional teams, including analytics, data science, and engineering. You are familiar with cloud technologies and have experience with tools like AWS, Kubernetes, and Apache Airflow.
Experience with data processing frameworks and a solid understanding of data architecture principles will set you apart. Familiarity with machine learning concepts and how data engineering supports these initiatives is a plus. You are proactive in identifying opportunities for improvement in data workflows and are always looking for ways to optimize processes.
As a Data Engineer at Lyft, you will be responsible for architecting and building data pipelines that enable the organization to make informed decisions based on data insights. You will collaborate with various teams to understand their data needs and ensure that the data infrastructure meets those requirements. Your role will involve designing and implementing robust data transport mechanisms, as well as ensuring data quality and integrity throughout the pipeline. You will also be tasked with monitoring and maintaining the performance of data systems, troubleshooting issues as they arise, and continuously improving the data architecture to support Lyft's growing analytics needs.
You will work closely with data scientists and analysts to provide them with the necessary data and tools to derive insights that drive business decisions. Your contributions will directly impact how Lyft serves its users and optimizes its transport network. You will be part of a team that values innovation and is committed to leveraging data to enhance user experiences.
Lyft offers a collaborative work environment where you can thrive and grow your skills. You will have the opportunity to work on impactful projects that affect millions of users. The company values diversity and inclusion, ensuring that all team members feel a sense of belonging. Lyft provides competitive compensation and benefits, along with opportunities for professional development and career advancement. You will be part of a mission-driven organization that is dedicated to improving transportation for everyone.
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