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.
The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection.
As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.
Responsibilities:- Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
- Evolve data model and data schema based on business and engineering needs
- Implement systems tracking data quality and consistency
- Develop tools supporting self-service data pipeline management (ETL)
- SQL and MapReduce job tuning to improve data processing performance
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions
- 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
- Strong experience with Spark
- Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
- Strong skills in a scripting language (Python, Go)
- Good understanding of SQL Engine and able to conduct advanced performance tuning
- Proficient in at least one of the SQL languages (SparkSQL, Trino)
- 1+ years of experience with workflow management tools (Airflow)
- Comfortable working directly with data analytics to bridge Lyft’s business goals with data engineering
- Preferred to have experience of building and maintaining customer care related data tables as a Data Engineer for large organizations
Please submit your resume in English.
Skills Required
- 4+ years of professional data engineering experience, ideally with large-scale distributed systems
- Strong experience with Spark
- Experience with Hadoop ecosystem (HDFS, MapReduce, Yarn) and related tools (Hive, Pig)
- Experience with cloud storage and data formats: S3, Parquet
- Experience with NoSQL/datastore: DynamoDB, HBase
- Strong skills in a scripting language (Python or Go)
- Good understanding of SQL engines and advanced performance tuning
- Proficient in at least one SQL language (SparkSQL or Trino)
- 1+ years experience with workflow management tools (Airflow)
- Experience tuning SQL and MapReduce jobs for performance
- Implement systems for tracking data quality and consistency
- Develop tools to support self-service ETL and pipeline management
- Ability to write well-tested, readable, maintainable code and participate in code reviews
- Experience building and maintaining customer care related data tables (preferred)
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 — Corporate materials describe comprehensive medical, dental, and vision coverage with added access to One Medical and mental-health support, indicating a solid core health offering. This breadth positions health benefits as a relative strength for full-time employees.
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Parental & Family Support — Company information highlights paid parental leave for new parents, with flexibility in how time can be taken. This signals strong family support within the corporate package.
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Leave & Time Off Breadth — U.S. salaried employees have unlimited paid time off alongside company holidays, and hourly roles receive structured PTO and sick time. These policies point to ample time-off availability compared with many roles.
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.
