🛠 Tech Stack

💼 About This Role

You'll own and evolve data pipelines that power Lyft's top-line financial, pricing, and driver-related metrics. Collaborate with Analytics, Data Science, and Engineering to design data models and architectures that drive insights. Your work will provide seamless access to the data that powers Lyft's success.

🎯 What You'll Do

• Take ownership of core data pipelines ensuring resilience and performance
• Evolve data models and schemas to meet business requirements
• Implement systems to monitor and enhance data quality
• Develop self-service ETL tools and perform SQL tuning
• Contribute to technical roadmap and write clean, scalable code

📋 Requirements

• 3+ years of professional experience in data engineering
• Proficient in SQL and complex data modeling
• Hands-on coding skills in Python, Java, or similar
• Experience with ETL in Spark or similar technologies

✨ Nice to Have

• Familiarity with workflow management tools like Airflow or Flyte
• Experience designing data-intensive applications

🎁 Benefits & Perks

• 🏖️ Flexible PTO for salaried team members
• 🏥 Extended health and dental coverage
• 🧠 Mental health benefits
• 👶 18 weeks paid parental leave
• 🚗 Lyft ride credits and commuter benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3Onsite Interviews· 4-5 hours