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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Here at Lyft, data is at the core of every decision we make. It powers our business — helping us create great transportation experiences for our customers and providing insights into the effectiveness of our product launches and features.
As a Data Engineer on Lyft’s Marketplace – Decision Apps team, you will own and evolve the data pipelines that power our top-line financial, pricing, and driver-related metrics. You will collaborate with Analytics, Data Science, and Engineering partners to design data models and architectures — proposing innovative ideas, evaluating multiple approaches, and implementing solutions grounded in fundamental engineering principles and rigorous data analysis. Your work will provide seamless access to the insights that drive Lyft’s success.
Responsibilities:- Take ownership of core data pipelines, ensuring resilience, optimal performance, timely delivery, data quality, and seamless onboarding of new features
- Continuously evolve data models and schemas to meet business and engineering requirements
- Implement and maintain systems to monitor and enhance data quality and consistency
- Develop tools that support self-service management of data pipelines (ETL) and perform SQL tuning to optimize data processing performance
- Contribute to the Data Engineering team’s technical roadmap, ensuring alignment with team and stakeholder goals
- Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
- Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
- Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines
- Collaborate with internal and external partners to remove blockers, provide support, and achieve results
- 5+ years of professional experience in data engineering as a hands-on Individual Contributor delivering features end-to-end
- Proven ability to collaborate with cross-functional stakeholders (analytics, science, product, and engineering) to align data solutions with business objectives
- Proficient in data validation, analysis, and visualization for clear insight presentation
- Skilled in designing complex data models and resilient data pipelines, with solid understanding of analytical data modeling
- Expertise in advanced SQL, capable of understanding intricate business logic and implementing custom solutions
- Strong algorithmic foundation and hands-on coding skills in Python, Java, or similar languages
- Deep understanding of MPP systems and hands-on experience with ETL in Spark or similar technologies
- Familiarity with data system design principles for data-intensive applications
- Practical experience with workflow management tools (e.g., Airflow, Flyte, etc.)
- Professional and stable working environment.
- The latest technology and equipment you need.
- Potential to work remotely, including out of country (dependent on work authorizations).
- 28 calendar days for vacation and up to 5 paid sick days.
- 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
- Mental health benefits.
- Family building benefits.
This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote
Skills Required
- 5+ years of professional hands-on data engineering experience delivering features end-to-end
- Experience collaborating with analytics, data science, product, and engineering stakeholders
- Proficiency in data validation, analysis, and visualization
- Experience designing complex data models and resilient data pipelines
- Strong understanding of analytical data modeling
- Expertise in advanced SQL and complex business logic implementation
- Strong algorithmic foundation and hands-on coding skills in Python, Java, or similar languages
- Deep understanding of MPP systems and hands-on ETL experience with Spark or similar technologies
- Familiarity with workflow management tools such as Airflow or Flyte
- Experience with data system design principles for data-intensive applications
Lyft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lyft and has not been reviewed or approved by Lyft.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is provided for corporate employees, with added access to One Medical and mental‑health support for employees and dependents. Benefits materials also highlight wellness programs alongside these core plans.
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Parental & Family Support — Paid parental leave of 18 weeks is offered for biological, adoptive, and foster parents, and family‑building and fertility support are included. These provisions are consistently described as a standout element of the package.
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Leave & Time Off Breadth — Salaried U.S. employees have unlimited PTO, and hourly employees receive a defined bank of paid time off plus observed holidays. Some reports also note sabbatical eligibility after tenure.
Lyft Insights
What We Do
Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.
