{"id":"52a3c58c-21a8-41de-a5a1-43d6891f8ab3","title":"Data Engineer","company":{"id":"23882316-4bac-4f5b-b291-339349ce1845","name":"Lyft","website":"https://app.careerpuck.com","url":"https://yesjob-web.pages.dev/companies/23882316-4bac-4f5b-b291-339349ce1845"},"url":"https://yesjob-web.pages.dev/jobs/52a3c58c-21a8-41de-a5a1-43d6891f8ab3","apply_url":"https://app.careerpuck.com/job-board/lyft/job/8662205002?gh_jid=8662205002","status":"open","location":"Toronto, Canada","locations":[{"city":"Toronto","region":null,"country":"CA"},{"city":"Toronto","region":"ON","country":"CA"}],"workplace":null,"remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":null,"first_seen_at":"2026-11-05T21:25:03.353Z","last_seen_at":"2026-11-06T22:36:10.249Z","salary_text":null,"summary":"- Hybrid Data Engineer role in Toronto, ON: must be in the office at least 3 days per week (Mondays, Wednesdays, Thursdays).\n- Requires a bachelor's degree in a related field and 4+ years of professional data engineering experience (Spark, Python, SQL tuning, AWS, Hadoop/S3, Hive, Presto, Airflow).\n- Base pay CAD $108,000–$135,000 annually, excluding equity, bonus and benefits.\n- No work authorization requirements are stated in the posting; confirm eligibility with the recruiter.","sources":["https://app.careerpuck.com/job-board/lyft/job/8662205002?gh_jid=8662205002"]}