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 Senior Data Engineer to build scalable data solutions for their Urban Solutions business. You'll work with data transport, collection, and storage technologies. This role requires expertise in data pipelines and data quality management.
You have 5+ years of experience as a Data Engineer, with a strong background in building and maintaining data pipelines that support business operations. Your expertise in data modeling and schema evolution allows you to adapt to changing business requirements effectively. You are proficient in ETL processes and understand the importance of data quality and consistency in driving data-driven decisions. You have experience collaborating with cross-functional teams, including product managers and data scientists, to translate requirements into scalable data solutions. Your coding skills in Python and SQL enable you to write maintainable and efficient code that prioritizes performance and readability. You thrive in environments where data is at the core of decision-making, and you are passionate about leveraging data to enhance user experiences.
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with big data technologies like Apache Spark. You are comfortable using tools that support self-service management of data pipelines and have a keen interest in optimizing data processing performance. You understand the nuances of working with large datasets and are adept at implementing monitoring systems to ensure data integrity.
In this role, you will be the owner of core data pipelines at Lyft, responsible for scaling up data processing flows to accommodate rapid data growth. You will continuously evolve data models and schemas based on both business and engineering requirements, ensuring that the data architecture remains robust and scalable. You will implement and maintain systems that monitor data quality and consistency, developing tools that support self-service management of data pipelines. Your work will directly impact the Lyft Urban Solutions business, providing timely and accurate data for internal and external customers. You will collaborate closely with product managers, engineers, and data scientists to gather and translate requirements into effective data solutions. Your contributions will help shape the data landscape at Lyft, enabling data-driven decisions that enhance the transportation experience for customers.
Lyft fosters a work environment where all team members belong and have the opportunity to thrive. You will be part of a team that values collaboration and innovation, working on projects that have a significant impact on the company's success. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Lyft offers competitive compensation and benefits, along with opportunities for professional growth and development within the company. Join us in our mission to connect and serve through data-driven insights and solutions.
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