Jobs in Canada

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Added 2 months ago
Senior Commercial Manager
ClearScore Technology Limited
Toronto, ON
As Senior Commercial Manager, you’ll be at the heart of our growth in Canada. You’ll own relationships with some of Canada’s biggest banks, financial institutions and fintechs, working…
Added 2 months ago
R
Senior Manager – Product Owner, Agentic Investigation Capability
RBC
Vancouver, BC · Toronto, ON
- Full-time
As the Senior Manager – Product Owner, Agentic Investigation Capability, you will own the business-product strategy, roadmap and outcomes for an emerging agentic capability that supports…
Added 2 months ago
RB
Senior Manager – Product Owner, Entity & Network Analytics Platform (Quantexa)
Royal Bank of Canada
Toronto, ON · Bedford, NS · Vancouver, BC
- Full-time
As the Senior Manager – Product Owner, Entity & Network Analytics Platform (Quantexa), you will own the business-product strategy, roadmap and outcomes for the entity & network analytics…
Added 5 months ago
K
Senior Manager, Financial Crimes- Data Analytics
KPMG
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Whether you're a seasoned compliance analytics professional , a data-driven problem solver, or a strategic thinker passionate about compliance, the FC COE offers a dynamic platform to…
Added 2 months ago
Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
PF
Ingénieur·e senior en implantation | Senior Implementation Engineer
Power Factors
Remote, Canada
- Remote
Added 2 months ago
R
Senior Manager – Product Owner, Entity & Network Analytics Platform (Quantexa)
RBC
Vancouver, BC · Toronto, ON
- Full-time
As the Senior Manager – Product Owner, Entity & Network Analytics Platform (Quantexa), you will own the business-product strategy, roadmap and outcomes for the entity & network analytics…
Added 2 months ago
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Software Development Manager, Tax Engine
Amazon
Vancouver, BC
- Full-time
…amount for every transaction that happens on Amazon’s global…
Added 2 months ago
AW
Software Development Manager - AWS Identity & Access, AWS IAM Identity Center
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
…technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on,…
Added 2 months ago
K
Paid Social Manager
Klick
Toronto, ON
- Full-time
The Paid Social Manager leads paid social strategy and execution for healthcare and pharmaceutical clients, partnering with Media, Client Services, Creative, Analytics, and platform…
Added 2 months ago
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Content & Research Manager – Metals & Mining
FactSet
Toronto, ON
- Full-time
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use…
Added 2 months ago
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Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 2 months ago
IM
Manager, Business Platform Operations (Zendesk)
Ingram Micro
Toronto, ON · SoftCom Canada
- $130,000 to $140,000 CAD / year
- Full-time
Position Summary: The Manager, Business Platform Operations is responsible for leading the global strategy, operations, and transformation of Ingram Micro's Zendesk platform. Zendesk serves…
Added 2 months ago
Brand and Content Senior Manager
FanDuel
Toronto, ON
We are currently looking for a Brand & Content Senior Manager, Sportsbook , to join our FanDuel Canada team! This is a pivotal role responsible for uncovering consumer insights that define…
Added 2 months ago
EA
Machine Learning Engineer III
Electronic Arts (EA)
Vancouver, BC
- Full-time
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 3 months ago
MF
Forward Deployment Engineer Manager - Marketing
McCain Foods
Toronto, ON
- Full-time
The Forward Deployment Manager - Marketing is part of McCain’s Artificial Intelligence organization and reports directly to the VP, Artificial Intelligence. This role provides leadership…
Added 3 months ago
MF
Forward Deployment Engineer Manager - Commercial
McCain Foods
Toronto, ON
- Full-time
The FDE Commercial Manager is part of McCain’s Artificial Intelligence organization and reports to the VP, Artificial Intelligence. This role leads the Yellow Portfolio FDE talent pool and…
Added 3 months ago
MF
Forward Deployment Engineer Manager - Manufacturing
McCain Foods
Toronto, ON
- Full-time
The FDE Manufacturing Manager establishes and maintains the standard of excellence for McCain’s Forward Deployed Engineering practice. Reporting to the VP, Artificial Intelligence, this…
Added 3 months ago
E
Product Manager, AI Entities
EvenUp
Toronto, ON
- $177,650 to $209,000 CAD / year
- Full-time
We're looking for a Product Manager to join our AI Platform group and own the systems that turn messy, unstructured case materials into accurate, structured "source of truth" data. This…
Added 2 months ago
1
Director, Marketing
1-800-GOT-JUNK?
Vancouver, BC
- Full-time
In this role, you are simultaneously the strategist, the executor, and the stakeholder manager. As our network scales toward ambitious growth targets, you will build the track record and…
Added 2 months ago
Specialist, Social Media and Content Creation
Dreww
Montreal, QC
Set up and manage paid social campaigns through Meta Ads Manager and TikTok Ads Manager.
Added 2 months ago
B
Regional Director Investments, Private Investment Counsel
BMO
Montreal, QC · IBMM
- Full-time
Defines business requirements for analytics and reporting to ensure data-driven insights inform business development, performance management, and strategic decision-making.
Added 3 months ago
CM
Media Manager, Operations
Critical Mass
Toronto, ON
- Full-time
This person serves as a connective point across planning, investment, finance and analytics and reports into senior operations leadership. The work suits someone who brings order to complex…
Added 2 months ago
PT
Sr. Release Manager
PAR Technology
Remote, Canada
- $100,000 to $119,000 CAD / year
- Full-time
- Remote
A Sr. Release Manager at PAR Technology orchestrates the end-to-end software release lifecycle for enterprise restaurant and retail systems, applying disciplined program management to bring…
Added 3 months ago
T
Data Analyst
TBWA\Worldwide
Toronto, ON
- Full-time
Are you an avid data analyst looking for an exciting career in the world of media? Are you obsessed with ROI? Do you like optimizing stuff? Look no further than this data and analytics team…

Lyft

Senior Software Engineer, Data - Mapping

Toronto, ON, Canada

Apply on app.careerpuck.com About employer

Applications open in a new tab.

Job details

Experience: 5+ years of professional experience in backend or data engineering with large-scale distributed systems
Posting language: English
Posted: Sep 4, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services - the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale
Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions
Continuously evolve data models and schemas to meet business and engineering requirements
Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform hands-on SQL tuning to optimize data processing performance
Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
Participate in code and architecture reviews to ensure code quality and distribute knowledge
Manage on-call rotations and proactively improve team processes
Mentor others, give brown bags, and promote engineering best practices across the team

Experiences

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
5+ years of professional experience in backend or data engineering with large-scale distributed systems
Strong experience with Spark, and with a scripting language (Python, Ruby, Bash)
Experience with distributed storage, querying, and streaming technologies (e.g. Clickhouse, Hive, Presto, Delta, Iceberg, Kafka)
Strong SQL skills (MySQL, PostgreSQL or similar), with experience conducting advanced performance tuning and querying high volume events data (e.g. geospatial, behavioural)
Strong data quality instincts, with hands-on experience using tools like dbt, Great Expectations, or Monte Carlo to diagnose and resolve issues in complex datasets
Experience with workflow orchestration (e.g., Airflow, Prefect) and infra tooling (e.g., Terraform, Docker, Kubernetes), preferably in an AWS context
Experience designing API schemas and building backend services in a microservices architecture
Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows
Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
Bonus: Experience with LLM orchestration or vector databases, or with experimentation/simulation platforms and A/B testing infrastructure at scale

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 to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Apply on app.careerpuck.com About employer

More about this job

Responsibilities

You will lead the architecture and technical direction of offline experimentation and route simulation services while managing core data pipelines. Additionally, you will develop AI-driven tools for data management and mentor team members to promote engineering best practices.

Requirements

The role requires a bachelor's degree in a technical field and at least 5 years of professional experience in backend or data engineering. Candidates must have strong expertise in distributed systems, Spark, SQL, and cloud-based infrastructure.

Skills

Data engineering
Distributed systems
Spark
Python
SQL
AWS
Kubernetes
Airflow
Data pipelines
ETL
Microservices
Geospatial data
Performance tuning
API design
Machine learning
Data governance

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Distributed Systems
Spark
Python
SQL
AWS
Kubernetes
Airflow
Databricks
Clickhouse
Hive
Presto
Delta
Iceberg
Kafka
dbt
Great Expectations
Monte Carlo
Terraform
Docker
Microservices
API
Geospatial
Machine Learning
ETL
Simulation
Experimentation
LLM
Vector Databases
A/B Testing

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Work requirements

Jobs in Canada