Senior Data Engineer — Hybrid Role: Scale Data Pipelines

Lyft; Toronto; On-site; CAD 136,000 - 170,000; Full time

Job summary

A leading transportation company in Toronto is seeking a Data Engineer to build scalable solutions and manage data pipelines. You will work closely with cross-functional teams to ensure effective data processing and analytics. Candidates should have over 3 years of relevant experience, strong SQL skills, and proficiency in ETL processes. The role offers competitive compensation, flexible paid time off, and remote work options.

Benefits

Health and dental coverage

Flexible paid time off

Child care and pet benefits

Lyft funded Health Care Savings Account

Qualifications

• 3+ years of experience in data engineering or related field.
• Hands-on experience with workflow management tools.
• Strong expertise in SQL and ETL processes.

Responsibilities

• Own core company data pipelines for scaling up data processing.
• Continuously evolve data models based on requirements.
• Develop tools for self-service management of data pipelines.

Skills

SQL

Data modeling

ETL

Python

Bash

Trino

Spark

Airflow

Job description

A leading transportation company in Toronto is seeking a Data Engineer to build scalable solutions and manage data pipelines. You will work closely with cross-functional teams to ensure effective data processing and analytics. Candidates should have over 3 years of relevant experience, strong SQL skills, and proficiency in ETL processes. The role offers competitive compensation, flexible paid time off, and remote work options.