Data Engineer

Lyft

Toronto, Canada
Base: cad $108,000 - cad $135,000; bonus/equity: p...
On-site
Data modeling and pipelines
Data quality and consistency
Etl processes and workflow orchestration
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

Job Summary

  • 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.
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.

Matching Summary

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.

Salary

Base: CAD $108,000 - CAD $135,000; Bonus/Equity: potential equity offering, bonus; Benefits: Extended health and dental coverage options, along with life insurance and disability benefits, mental health benefits, family building benefits, child care and pet benefits, Access to a Lyft funded Health Care Savings Account, RRSP plan with company match, flexible paid time off policy, 18 weeks paid parental leave, subsidized commuter benefits and Lyft ride credits

Skills & Requirements

Must-have

  • Data modeling and pipelines
  • Data quality and consistency
  • ETL processes and workflow orchestration
  • Spark, Python, and SQL performance tuning
  • AWS, Hadoop/S3, Hive, Presto, Airflow

Nice-to-have

  • Cross-functional collaboration
  • Scaling data processing flow
  • Self-service data pipeline management
  • Collaborative mindset

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • 4+ years of professional experience in data engineering
  • Experience with large-scale distributed systems
  • Solid understanding of ETL processes, workflow orchestration, and data warehousing

Work Rights

Not specified

Tailored Resume

Cover Letter