Marketing Technology Lead
Toronto, ONLyft
7+ ansLyft needs a candidate with 7+ years in marketing technology or business systems, including 3+ years leading solution design. Candidates must have hands-on HubSpot or a similar B2B automation platform, Salesforce experience, and delivered integrations using REST APIs.
HubSpot, Salesforce, Tag management system, REST APIs, Databricks, Snowflake
Legal Operations Specialist
Toronto, ONLyft
2+ ansCandidates need at least 2 years of legal billing or eBilling experience in an in-house legal team or law firm. Hands-on experience with an eBilling platform such as Onit, Legal Tracker or Brightflag and LEDES invoice formats is required, along with strong Excel skills and a bachelor's degree preferred.
Onit, Legal Tracker, Brightflag, Excel, Ironclad, Evisort
Data Engineer
Toronto, ONLyft
4+ ansCandidates need a computer science, engineering, math or statistics bachelor's degree and 4+ years of data engineering experience on large distributed systems. Strong Spark, Python and SQL tuning skills are required, plus experience with AWS, Hadoop/S3, Hive, Presto and Airflow.
Spark, Python, SQL, MapReduce, AWS, Hadoop
Business Systems Engineer Intern, Finance Technology (Summer 2027)
Toronto, ONLyft
2+ ansCandidates need to be enrolled in a Canadian Bachelor's or Master's program, graduating between December 2027 and Summer 2028, and available in Summer 2027. Working knowledge of Python and SQL, interest in Workato, and strong Excel and communication skills are required.
Oracle ERP, Oracle HCM, Workato, Jira, Google Workspace, Excel
Android Software Engineer, Lyft Urban Solutions
Montréal, QCLyft
1+ ansCandidates need a computer science or related degree or equivalent practical experience, at least 1 to 3 years of software engineering experience, and experience with Kotlin and Jetpack Compose. They should work well in a collaborative, cross-functional team and explain their technical decisions.
Onboarding, Computer science, Computer engineering, Kotlin
Analytics Lead, SCC
Toronto, ONLyft
2+ ansCandidates need a quantitative degree and at least 2 years of analytical experience, ideally in a high-growth startup. They need strong SQL and Python skills, clear communication, and the ability to turn vague business problems into clear requirements.
SQL, Python, Dashboards