Top Benefits
Medical, dental, and vision insurance
Mental health benefits
Unlimited paid time off (12 holidays + PTO)
About the role
Who you are
- 5+ years of experience in data engineering and data platforms, particularly with cloud technologies like AWS, Databricks, and Snowflake
- Proficiency in Python and SQL
- Experience with big data compute and storage technologies (e.g., Spark, Trino, Hive, Cloud Storage)
- Experience in applying software development practices to data, including testing and CI/CD
- A good understanding of analytic and data needs within corporate functions
- Experience in creating and implementing frameworks and APIs for automated data management and governance
- Proven ability to deliver features independently and collaborate effectively with others
- Experience with Graph databases, Vector databases, and Conversational analytics
- Experience in building Agentic applications for data engineering and operations
What the job involves
- We believe that our data is one of our greatest assets, and the insights we derive from it are crucial to our success
- The Corporate Data and Analytics team’s mission is to enable trusted Analytics, Data Science, and AI for all Corporate functions, including Finance, Marketing, People, and Enterprise
- As a Level 4 Data Engineer, you will be responsible for independently owning and delivering features and small projects that support our team's goals
- You will own key components of our data systems, ensuring they are reliable, scalable, and well-maintained
- Feature and Project Ownership
- Independently own and deliver features and small projects on data engineering, from design to deployment, that advance the team's goals
- Take responsibility for the development, operation, and maintenance of specific components within our data ecosystem
- Engineering & Operational Excellence
- Contribute to investments that improve code quality, reduce technical debt, and modernize our technology stack
- Write reliable, performant, and scalable code
- Ensure comprehensive testing for your features, including unit and end-to-end tests
- Monitor the stability of your deployed code, proactively identifying and fixing bugs
- Contribute to the team's operational responsibilities, including on-call rotations and SEV handling, and propose improvements to processes
- Develop and optimize DAGs for reliability, performance, and maintainability using Apache Airflow 2.0 and Astronomer
- Planning & Collaboration
- Accurately evaluate and estimate the effort for assigned tasks and features
- Participate in roadmapping discussions and provide valuable feedback
- Write clear technical documentation and runbooks for your work
- Lead with support as needed in code reviews, post-mortems, and planning discussions
- Collaborate with cross-functional partners (Product, Analytics, and Data Science) to understand data needs and deliver solutions and reliable data workflows
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
About Lyft
Ground Passenger Transportation
10,000+
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.
Top Benefits
Medical, dental, and vision insurance
Mental health benefits
Unlimited paid time off (12 holidays + PTO)
About the role
Who you are
- 5+ years of experience in data engineering and data platforms, particularly with cloud technologies like AWS, Databricks, and Snowflake
- Proficiency in Python and SQL
- Experience with big data compute and storage technologies (e.g., Spark, Trino, Hive, Cloud Storage)
- Experience in applying software development practices to data, including testing and CI/CD
- A good understanding of analytic and data needs within corporate functions
- Experience in creating and implementing frameworks and APIs for automated data management and governance
- Proven ability to deliver features independently and collaborate effectively with others
- Experience with Graph databases, Vector databases, and Conversational analytics
- Experience in building Agentic applications for data engineering and operations
What the job involves
- We believe that our data is one of our greatest assets, and the insights we derive from it are crucial to our success
- The Corporate Data and Analytics team’s mission is to enable trusted Analytics, Data Science, and AI for all Corporate functions, including Finance, Marketing, People, and Enterprise
- As a Level 4 Data Engineer, you will be responsible for independently owning and delivering features and small projects that support our team's goals
- You will own key components of our data systems, ensuring they are reliable, scalable, and well-maintained
- Feature and Project Ownership
- Independently own and deliver features and small projects on data engineering, from design to deployment, that advance the team's goals
- Take responsibility for the development, operation, and maintenance of specific components within our data ecosystem
- Engineering & Operational Excellence
- Contribute to investments that improve code quality, reduce technical debt, and modernize our technology stack
- Write reliable, performant, and scalable code
- Ensure comprehensive testing for your features, including unit and end-to-end tests
- Monitor the stability of your deployed code, proactively identifying and fixing bugs
- Contribute to the team's operational responsibilities, including on-call rotations and SEV handling, and propose improvements to processes
- Develop and optimize DAGs for reliability, performance, and maintainability using Apache Airflow 2.0 and Astronomer
- Planning & Collaboration
- Accurately evaluate and estimate the effort for assigned tasks and features
- Participate in roadmapping discussions and provide valuable feedback
- Write clear technical documentation and runbooks for your work
- Lead with support as needed in code reviews, post-mortems, and planning discussions
- Collaborate with cross-functional partners (Product, Analytics, and Data Science) to understand data needs and deliver solutions and reliable data workflows
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
About Lyft
Ground Passenger Transportation
10,000+
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.