Jobs in Canada

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Added 1 month ago
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- 10+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & Access Management, Identity Engineering, or Security Engineering.
Added 1 month ago
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Sr. Data Center Network Provisioning Engineer
Cerebras Systems
Toronto, ON
- Hands-on experience with at least one major cloud platform - AWS, GCP, or Azure - and with Kubernetes, including deployment, scaling, troubleshooting, and cluster management.
Added 1 month ago
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure.
Added 1 month ago
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
…infrastructure that deploys and runs the Cerebras Inference Platform - from CI/CD pipelines and Kubernetes-based deployments to ingress, load balancing, and service discovery. You will…
Added 1 month ago
Cloud Infrastructure Engineer
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter…
Added 1 month ago
AI Inference Core - Software Integration Engineer
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Software Engineer, GPU Inference
Cerebras Systems
Toronto, ON
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
Staff Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our…
Added 1 month ago
S
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
- $291,250 to $341,250 CAD / year
As a Staff/Principal Engineer, you will shape the product and its architecture. It’s a high leverage role - you will lead a team to scale and harden an early-stage, public-preview product.…
Added 1 month ago
C
Staff Software Engineer, Inference Infrastructure
Cohere
Toronto, ON · Montréal, QC
- $225,000 to $325,000 USD / year
…responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with…
Added 1 hour ago
A
Staff Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
Strong hands-on experience with Kubernetes, Docker, cloud-native technologies, and public cloud platforms, preferably Google Cloud Platform (GCP).
Added 1 hour ago
QF
Senior Software Engineer
Questrade Financial Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Software Engineer leads the technical design and delivery of complex, high-performance features across Questrade's products, spanning front-end applications (React Native,…
Added 2 hours ago
B
Software Engineer, Cloud Platform
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems - from bringing…
Added 2 hours ago
B
Software Engineer, Cloud Platform
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems - from bringing…
Added 2 hours ago
B
Software Engineer, Cloud Platform
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems - from bringing…
Added 3 hours ago
QF
Senior Software Engineer
Questrade Financial Group
Calgary, AB
- Full-time
The Senior Software Engineer leads the technical design and delivery of complex, high-performance features across Questrade's products, spanning front-end applications (React Native,…
Added 5 hours ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Design, deploy, and manage cloud infrastructure and services.
Added 5 hours ago
N
DevOps Engineer - AI Gateway
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Join Nutanix as a DevOps Engineer in Vancouver and build the infrastructure that powers development, testing, and performance engineering for the Nutanix AI (NAI) platform. You’ll build and…
Added 7 hours ago
A
Senior Principal Engineer
Autodesk
Toronto, ON · Greater Toronto Area, Canada
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…

Questrade Financial Group

Senior Data Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$123,000 - $143,000 CAD · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $123,000 - $143,000 CAD
Job type: Full-time
Apply by: Dec 13, 2026
Work location: A hybrid environment, with at least three days in the office built for working together
Experience: 5+ years of progressive data engineering experience with demonstrated success delivering robust, production-grade data pipelines.
Posting language: English
Posted: Nov 13, 2026

Original job description

Questrade is on a mission to help Canadians to become much more financially successful and secure.

For nearly 30 years, Questrade Financial Group has been delivering on that mission through investing, banking, mortgages, and real estate. Together, we tilt finance in favour of ambitious Canadians, creating new ways for them to seize the financial future they deserve.

We're looking for people who are ready to enter their career inflection point. Mission-driven, exceptional folks that never settle. The work here is hard because the responsibility is real. If that's the standard you've been looking for, keep reading.

Req #4401

The return on your career investment

Compensation and incentives built to reward the value you bring.
RRSP matching of up to 6%.
Health and wellness resources and programs, including $5,000 in mental health practitioner coverage.
$5,000 in tuition subsidies for job-related courses, every year.
100% parental top-up, up to 26 weeks for birthing parents and 18 weeks for non-birthing parents.
A hybrid environment, with at least three days in the office built for working together.
Paid vacation, personal, and sick days.
A community care day to give back to the causes you care about.

This job posting is for an existing vacancy

We’re looking for our next Senior Data Engineer

As part of the Brokerage Engineering organization, the Senior Data Engineer is accountable for the technical design, development, and operational excellence of scalable data pipelines and modern data platform infrastructure. Operating in a high-velocity, agile delivery model, this role bridges business requirements, core trading and brokerage operations, and downstream analytics to deliver timely, reliable, and audit-compliant data products. By leveraging cloud data warehousing, automated transformations with dbt (Data Build Tool), distributed data processing with Spark on Kubernetes, GCP data services, and Infrastructure as Code, the role enhances platform performance and data self-service capabilities across the brokerage ecosystem.

The mandate

In This Role, You Will

Pipeline Architecture & Engineering: Lead the technical design, development, and optimization of scalable, high-performance batch and real-time streaming data pipelines (ETL/ELT), ensuring robust data ingestion, orchestration, compute efficiency, and timely availability for critical brokerage trading and digital investing platforms.
Data Modeling & Transformation with dbt: Architect, implement, and maintain modular, version-controlled data models and transformation workflows using SQL and dbt, establishing robust automated testing, documentation, and data lineage to deliver analytics-ready and audit-compliant data assets.
Distributed Data Processing & Spark Orchestration: Build, tune, and scale high-throughput big data processing workloads utilizing Google Cloud Dataproc and Apache Spark running on Kubernetes, optimizing cluster resource allocation, memory management, and job execution for complex brokerage datasets.
Infrastructure as Code (IaC) & Cloud Provisioning: Provision, configure, and manage resilient cloud data infrastructure across environments using Terraform, embedding CI/CD automation, security best practices, and cost-effective resource management into all data platform deployments.
Data Reliability, Observability & Incident Resolution: Analyze and resolve complex technical problems and production data anomalies across the stack, diagnosing root causes through systematic investigation and implementing durable monitoring, automated alerting, and self-healing solutions to prevent recurrence.
Data Governance, Lineage & Regulatory Integrity: Ensure comprehensive data quality, data lineage, role-based access control, and metadata cataloging across all brokerage data pipelines to satisfy strict financial industry governance, auditability, and regulatory reporting standards.
Cross-Functional Solution Delivery: Partner closely with Product Managers, Solution Architects, Software Engineers, and Data Science/ML Ops teams to translate complex business requirements and predictive models into robust, production-grade data products and integration workflows.
Standards, Quality & Technical Mentorship: Define and enforce coding, testing, and deployment standards across data repositories, conducting thorough code reviews and providing technical guidance and mentorship to junior and intermediate engineers to foster engineering excellence.

You’re ready for this mandate if you have the following qualifications

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
5+ years of progressive data engineering experience with demonstrated success delivering robust, production-grade data pipelines.
Advanced proficiency in SQL and Python for data engineering, automation, and complex data transformations.
Hands-on production experience with distributed data processing using Google Cloud Dataproc and/or Apache Spark.
Demonstrated hands-on experience running and orchestrating data processing workloads on Kubernetes (containerization, pod scheduling, and resource scaling).
Hands-on production experience with cloud data warehousing and orchestration platforms (e.g., Google Cloud Platform services such as BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, or Databricks).
Demonstrated working knowledge and hands-on experience using dbt (data build tool) for data modeling, transformation, and automated testing.
Demonstrated working knowledge of Infrastructure as Code (IaC) utilizing Terraform to provision, configure, and maintain cloud infrastructure.
Strong experience with relational and non-relational database management systems (e.g., MSSQL, PostgreSQL, CloudSQL).
Demonstrated experience with modern CI/CD deployment pipelines, automated testing frameworks, and version control (Git).

Nice to have

Direct experience within financial services, brokerage technology, trading systems, capital markets, or wealth management data domains.
Experience with event-driven or real-time streaming architectures (e.g., Apache Kafka, Google Cloud Pub/Sub).
Relevant cloud or engineering certifications (e.g., Google Cloud Certified Professional Data Engineer, Databricks Certified Data Engineer, or Certified Kubernetes Administrator/Application Developer).
Experience working within Agile/Scrum or Scaled Agile Framework (SAFe) environments.
Practical experience leveraging AI-assisted developer tooling (e.g., Claude, GitHub Copilot, Cursor) to optimize development velocity and code quality.

Enter your career inflection point. Apply now.

LI-Hybrid,

The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Base salary range

$123,000 - $143,000 CAD

Technology and AI

We mix human ingenuity with advanced technology. For ambitious builders like you, we provide the latest technology to enable your creativity. You'll have everything you need to build the best outcomes and products for our clients.

Diversity and Inclusion

At Questrade Financial Group of Companies, we’re committed to fostering a diverse, inclusive, and accessible work environment where individuals are treated with dignity and respect. Our global team reflects the diversity of the communities we serve and operate in.

Accessibility statement

Candidates selected for an interview are contacted directly. If you require accommodation during the recruitment or selection process, please let us know. We will work with you to meet your needs.

AI in hiring

Questrade Financial Group of companies Applicant Tracking System uses artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and optimize scalable batch and streaming data pipelines, dbt transformations, and Spark workloads on Kubernetes using Google Cloud services and Terraform. Ensure data reliability, governance, lineage, and regulatory compliance while collaborating across teams, setting engineering standards, and mentoring other engineers.

Requirements

Requires a bachelor’s degree in a relevant field or equivalent practical experience, at least five years of data engineering experience, and advanced SQL and Python skills. Candidates should have production experience with Spark and Kubernetes, cloud data platforms, dbt, Terraform, databases, CI/CD, automated testing, and Git.

Skills

SQL
Python
Data Pipeline Engineering
ETL/ELT
dbt
Apache Spark
Kubernetes
Google Cloud Platform
BigQuery
Cloud Composer
Terraform
Data Modeling
Data Governance
CI/CD
Data Observability
Git

Benefits

RRSP Matching Up To 6%
Health And Wellness Resources
Mental Health Practitioner Coverage
Tuition Subsidies
Parental Leave Top-Up
Paid Vacation
Personal Days
Sick Days
Community Care Day
Bonus Program

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Pipelines
ETL/ELT
Batch Processing
Real-Time Streaming
SQL
Python
dbt
Apache Spark
Google Cloud Dataproc
Kubernetes
Google Cloud Platform
BigQuery
Cloud Composer
Apache Airflow
Dataflow
Pub/Sub
Databricks
Terraform
Infrastructure As Code
CI/CD
Git
Data Modeling
Data Governance
Data Lineage
Data Quality
Role-Based Access Control
Financial Services
Brokerage Technology
Agile/Scrum

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Work requirements

Jobs in Canada