Lyft thrives on community—it's the essence of who we are and what we do. Our commitment to fostering an open, inclusive, and diverse environment is paramount, ensuring every team member is valued for their unique contributions.
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. 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're in search of a Data Engineer to construct a scalable insurance data pipeline that will inform our financial strategies. Collaborating closely with our claims engineering, actuarial, and science teams, as well as our insurance partners, you'll lead the charge from technical proposal to final implementation. This role involves clear communication of technical challenges to both our internal teams and external partners, ensuring a cohesive approach to problem-solving.
As the steward of our core data pipeline, which underpins Lyft's key metrics, you'll leverage your data expertise to refine data models and spearhead the creation and launch of scalable data pipelines. These efforts will support Lyft's expanding needs in insurance data processing and analytics, providing critical business and user behavior insights. With access to vast amounts of Lyft data, your work will empower teams across Analytics, Data Science, Engineering, and beyond, driving innovation and growth.
Responsibilities:
Experience:
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected range of pay for this position in San Francisco is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
