Data Engineer - Remote

Overview

As a Data Engineer on the SCC team at Lyft, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform, ensuring reliable data processing and insights for various teams.

In Short

• Owner of the core data pipeline responsible for scaling data processing flow.
• Evolve data model and schema based on business needs.
• Implement systems tracking data quality and consistency.
• Develop tools for self-service data pipeline management (ETL).
• SQL and MapReduce job tuning for performance improvements.
• Write maintainable and tested code.
• Participate in code reviews for quality assurance.
• Collaborate with cross-functional teams to align on business solutions.

Requirements

• 4+ years of experience in data engineering with large-scale systems.
• Strong experience with Spark and Hadoop ecosystem.
• Proficient in scripting languages like Python or Go.
• Good understanding of SQL Engine and performance tuning.
• Experience with workflow management tools like Airflow.
• Comfortable working with data analytics.
• Preferred experience in customer care data engineering.

Benefits

• Professional and stable working environment.
• Access to the latest technology and equipment.
• Potential to work remotely, including out of country.
• 28 calendar days for vacation and up to 5 paid sick days.
• 18 weeks of paid parental leave.
• Mental health benefits.
• Family building benefits.