Find work in Canada.

516,448 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
R
Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational…
Added 1 month ago
B
Precision Technology Summer Associate
BASF
Saskatoon, SK
- Temporary
Utilizing your comfort with statistical programming in R or Python to take on data analysis and model development tasks that enhance your problem-solving skills.
Added 1 month ago
C
Staff Generative AI Engineer - Vice President
Citi
Mississauga, ON
- Full-time
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development…
Added 1 month ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
The Team - We accelerate BMO’s AI journey by building cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible…
Added 1 month ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
Ensure compliance with security and data governance requirements
Added 1 month ago
M
Applied AI Scientist
Mphasis
Canada
- Full-time
This is not primarily a conventional data science role, an LLM application-development role, or a prompt-engineering role. We are interested in people who want to understand how intelligent…
Added 1 month ago
NM
System Hardware Engineering Tester
Natus Medical Incorporated
Oakville, ON
- Full-time
System Hardware Engineering Tester – Natus Neuro
Added 1 month ago
C
Staff Data Engineer
commonsku
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Our core foundation for the Data Team is built on Snowflake. The rest of our tech stack is built on PHP, Python, React, mySQL and our infrastructure is in AWS.
Added 1 month ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 month ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Continuously improve internal engineering workflows related to debugging, testing, and automation.
Added 1 month ago
C
Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
Added 1 month ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.
Added 1 month ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
Added 1 month ago
A
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Montreal, QC
- Full-time
As part of the national GIS team, you will design and maintain automation and data integration solutions for the ALTO project. Working with GIS, CAD/BIM, engineering, and information…
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
…a new GPU Inference Development team. Working closely with engineering leads and cross-functional systems infrastructure teams, you will design, build, and scale the end-to-end release…
Added 1 month ago
C
Sr./Staff TPM - Inference Capacity
Cerebras
Toronto, ON
- Full-time
Strong data fluency: SQL, Grafana, basic Python or Flux to pull your own numbers without waiting for an analyst
Added 1 month ago
Bioinformatics Support Specialist
National Research Council Canada
Halifax, NS
…world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies…
Added 1 month ago
TT
Acquisition Software Developer
Teledyne Technologies Incorporated
Ottawa, ON · Richmond, BC · Canada - Ottawa, ON (TDY)
- Full-time
We are seeking an Acquisition Software Developer - GigE Vision with a passion for high-performance networking and machine vision systems to join our Software R&D team. The successful…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivalled…
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational…
Added 1 month ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
…teams, and customers directly. This is a hands-on software engineering role for someone who enjoys turning rapidly evolving ML capabilities into durable, production-quality…
Added 1 month ago
TM
Senior Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
- $105,000 to $125,000 CAD / year
- Full-time
The Senior Product Development Engineering Specialist is responsible for leading the mechanical development activities for advanced medical device programs while contributing to the overall…
Added 1 month ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.

Robinhood

Engineering Manager, Data

Toronto, ON, Canada

$200,000 - $235,000 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $200,000 - $235,000 CAD
Job type: Full-time
Experience: 3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
Posting language: English
Posted: Sep 23, 2026

Original job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational data models and core data layers that are consumed by downstream users, ensuring high data quality and reliability. We also develop internal data and AI tooling that enables teams across the company to scale their data development workflows efficiently. Our team collaborates with engineering, product, brokerage, crypto, and marketing teams to expand and grow Robinhood's products around the world ! We also partner with Machine Learning teams to build robust training datasets that power intelligent product features.

As the Engineering Manager for our Toronto Data Engineering team, you will lead a team of exceptional engineers and drive the execution of key data initiatives. In this role, you will balance technical leadership with people management, dedicating approximately 60% of your time coaching and 40% to hands-on technical contributions, such as code and architecture reviews. You will drive roadmap planning and establish clear goals for the team, particularly as we expand into new markets and scale systems. Additionally, you will play a crucial role in building more intelligent tooling through AI to help our organization scale! You will collaborate closely with partners in Data Science, Machine Learning, Product Management, and Business Operations to deliver high-quality data products.

This role is based in our Toronto, ON office(s), with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What You’ll Do

Lead, coach, and expand an exceptional team of 10 data engineers based in Toronto, setting a high standard for execution and team growth.
Actively participate in technical execution, including code reviews and architecture, assessing data quality, and unblocking daily technical challenges.
Define roadmaps and execution plans for core data engineering initiatives, effectively taking on a product management focus to translate ambiguous requirements into clear engineering goals.
Build a platform that makes Robinhood's data discoverable, understandable, and usable for both people and AI - through semantic models, metadata, and developer tooling that turn trusted data into a reusable, company-wide asset.
Partner with Data Science, ML, and Business Operations teams to build and maintain reliable, scalable data pipelines and foundational datasets that support product expansion and business operations.

What You Bring

3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
Strong hands-on experience with Python and Apache Spark, along with familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid.
Proven ability to drive clarity in ambiguous situations, take ownership of project planning, and guide engineering execution without relying on dedicated project managers.
Demonstrated track record of building and maintaining reliable, large-scale data pipelines and foundational datasets.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, creative problem-solving, and technology.
Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What We Offer

Challenging, high-impact work to grow your career.
Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership.
Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs.
Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.
Monthly commuter stipend to help offset in-office commuting costs.

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.

Base Pay Range

Toronto, ON

$200,000 - $235,000 CAD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work - welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Apply About employer

More about this job

Responsibilities

Lead, coach, and grow a team of 10 data engineers while contributing to technical execution through code and architecture reviews, data quality assessment, and problem-solving. Set roadmaps and build reliable foundational datasets, pipelines, semantic models, metadata, and developer tools in partnership with Data Science, Machine Learning, Product, and Business Operations.

Requirements

Requires at least 3 years of engineering management experience and 5 years of prior software or data engineering experience. Candidates should have hands-on Python and Apache Spark experience, familiarity with cloud and data platforms, and a track record of delivering reliable large-scale data pipelines and foundational datasets.

Skills

Engineering Management
Data Engineering
Python
Apache Spark
AWS
Databricks
Delta Lake
Flink
Pinot
Druid
Data Pipelines
Data Modeling
Data Quality
Technical Leadership
Roadmap Planning
AI Tooling

Benefits

Bonus Opportunities
Equity Ownership
Supplemental Health Insurance
Ancillary Insurance
Mental Health Support
Flexible Lifestyle Spending Account
Paid Time Off
Company Holidays
Sick Time
Paid Volunteer Time Off
Parental Leave
Catered Meals
Commuter Stipend

Visa sponsorship

Not detected in the job text

Keywords

Core Data Engineering
Engineering Management
Data Engineering
Python
Apache Spark
AWS
Databricks
Delta Lake
Flink
Pinot
Druid
Data Pipelines
Foundational Datasets
Data Models
Data Quality
Data Reliability
Semantic Models
Metadata
Developer Tooling
AI Tooling
Machine Learning
Data Science
Roadmap Planning
Architecture Reviews
Code Reviews
Cloud Platforms
Business Operations
Financial Services

Report this job