Software development jobs in Canada

Explore software development jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 6, 2026

Hiring at a glance

View jobs

Open jobs: 3,958
Employers: 1,441

Advertised starting pay

Average starting payCAD / year: $115,468Across 451 listings
Average starting payUSD / year: $140,962Across 109 listings
Average starting payCAD / hour: $52.48Across 74 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 10%399 listings
Hybrid: 41%1,626 listings
On-site: 48%1,902 listings

Not specified: 1% (31 listings)

Employers hiring include Amazon (104), Genetec (62), Electronic Arts (50).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Canada

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Added 2 months ago
M
Software Specialist - Avionics (DO-178C)
MANNARINO
Montreal, QC
- Full-time
MANNARINO Systems & Software Inc. is a leader in providing safety-critical systems, software, hardware and certification engineering services to the aerospace, defense, space, simulation &…
Added 2 months ago
T
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
- Full-time
Added 2 months ago
B
Software Engineer, Product (Fullstack)
Badge
Vancouver, BC
- $140,000 to $170,000 CAD / year
- Full-time
Added 1 month ago
Software Development Engineer, AWS - Amazon EKS
Amazon
Vancouver, BC
Added 1 month ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 1 month ago
Software Developer IV, Data
ACV
Toronto, ON
…for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar…
Added 1 month ago
F
Sr. Software Engineer
Felix
Remote, Canada
- $125,000 to $160,000 USD / year
- Full-time
- Remote
Added 1 month ago
B
Senior Software Engineer, Web
Binance.US
Remote, Canada
- $174,487 to $205,332 CAD / year
- Full-time
- Remote
Added 1 month ago
Software Development Engineer II, Amazon Fulfillment Technologies (AFT) - Workforce Optimization
Amazon
Toronto, ON
Our team is looking for Software Development Engineers who l
Added 1 month ago
S
Software Product Assurance Developer
Syntronic
Brampton, ON
- Temporary
Added 1 month ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 1 month ago
Full Stack Software Developer - Engineered Arts
Opportunities with AppDirect's Advisor Partners (Recruitment as a Service)
Montreal, QC
…education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many…
Added 1 month ago
YI
Software Developer - Internal Automation
YuJa Inc.
Toronto, ON · North York, Ontario
- $80,000 to $90,000 CAD / year
- Full-time
Added 2 months ago
SE
Software Developer - C++ *
Siemens EDA (Siemens Digital Industries Software)
Saskatoon, SK
- Full-time
We are looking for talented software developers at all levels to join our technical team at the Saskatoon research & development site of Siemens EDA.
Added 2 months ago
S
Fullstack Developer - Hub Squad
Stay22
Montreal, QC
- Full-time
Added 2 months ago
EA
Développeur.euse de logiciels / Software Developer - BATTLEFIELD QV
Electronic Arts (EA)
Montreal, QC
- Full-time
Added 1 month ago
L
Product Engineer - Full-Stack Developer
Liftoff
Montreal, QC
- $70,000 to $120,000 CAD / year
- Full-time
Added 28 days ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Principal Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of…
Added 2 months ago
I
Senior Full Stack Developer (Django & Next.js)
iTremo
Engineer, BC
- Full-time
Added 2 months ago
C
Senior Software Developer – Machine Learning Platform
Coveo
Montreal, QC
- Full-time
Added 2 months ago
N
Coherent Systems Architect - Optical Modem Development and Optimization
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Added 2 months ago
N
Coherent Systems Architect - Optical Modem Modeling and Specification
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Added 2 months ago
C
Analyste-Programmeur (Intermédiaire / Sénior)
CGI
Shawinigan, QC
- Full-time
Added 2 months ago
JG
Java Full Stack Developer
J&M Group
Toronto, ON
- Full-time
8+ years of full-stack software development experience.
Added 2 months ago
B
Staff Software Engineer
Braze
Vancouver, BC
- Full-time

Morningstar

Principal Software Engineer

Toronto, ON, Canada

$112,583.00-$162,125.00 · Full-time

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Applications open in a new tab.

Job details

Pay: $112,583.00-$162,125.00
Job type: Full-time
Experience: Experience: 9+ years of experience in data engineering, data platforms, or distributed systems.
Posting language: English
Posted: Sep 8, 2026

Original job description

The Role

As a Principal Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our data engineering capability. Together, you will migrate our file-based products to a unified, cloud-native data platform - architecting highly governed data pipelines, feed generation systems, and large-scale data delivery infrastructure.

This is a senior individual contributor role reporting to the Director of Technology. You will serve as a technical thought leader for a team of engineers - owning the end-to-end data platform architecture, from ingestion and transformation through to client-facing data products. You will define best practices for data governance, data modeling, performance optimization, and data reliability across the entire product lifecycle, while mentoring engineers and fostering continuous improvement within the data engineering discipline.

If your background is in data engineering, data platform development, or building production-grade data systems at scale, this role was designed for you.

Location: Toronto, ON (Hybrid-4 days in Office)

We intentionally prioritize in-person collaboration, as we've found it strengthens creative quality, alignment, and team momentum.

Job Responsibilities

Lead and provide deep technical direction across data feeds and the data engineering function, guiding architectural decisions across platforms.
Architect the platform consolidation strategy, migrating legacy feed products onto a unified, governed, cloud-native architecture.
Design and implement scalable data delivery mechanisms for both file-based feeds and modern marketplace distribution platforms.
Drive DataOps maturity by establishing comprehensive data quality, monitoring, alerting, and CI/CD practices across the platform.
Influence technical strategy across teams by communicating architectural vision to both technical and non-technical stakeholders.

Qualifications

Experience: 9+ years of experience in data engineering, data platforms, or distributed systems.
Cloud Expertise: Proven track record building and optimizing large-scale data pipelines on a major cloud platform (AWS preferred; Azure or GCP also accepted).
Data Processing at Scale: Strong experience with distributed or high-performance compute engines for large-scale data transformation. Familiarity with frameworks such as Spark/PySpark, DuckDB, or similar modern engines, and the ability to evaluate trade-offs between them for different workloads.
SQL & Programming: Expert proficiency in SQL (Postgres, SQL Server, etc) and strong development skills in Python (Python 3.x).
Data Warehousing: Strong hands-on experience with modern cloud data warehouses (e.g., Snowflake, Databricks, Redshift).
Technical Leadership: Demonstrated ability to influence engineering direction without direct management authority, mentor engineers, and drive alignment across teams.
Deployment: Experience with containerization (Docker, Kubernetes).
Cloud Storage: Hands-on experience with cloud object storage (AWS S3, Azure Blob Storage, or Google Cloud Storage).

Nice to Have (Experience & Tools)

Architecture: Knowledge of data lake and lakehouse architecture, including the implementation and use of open table formats like Delta Lake and Apache Iceberg.
Domain Knowledge: Previous experience in highly regulated or financial services industries with stringent data quality and delivery SLA requirements.
AI-Assisted Development: Experience using agentic coding tools (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate development workflows.

Base Salary Compensation Range

$112,583.00-$162,125.00

Incentive Target Percentage

20% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

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More about this job

Responsibilities

The Principal Software Engineer will lead the migration of legacy products to a unified, cloud-native data platform while architecting highly governed data pipelines. They will also serve as a technical thought leader, defining best practices for data modeling, performance optimization, and data reliability across the product lifecycle.

Requirements

Candidates must have 9+ years of experience in data engineering or distributed systems with expert proficiency in Python and SQL. Strong hands-on experience with cloud data warehouses and major cloud platforms like AWS is required.

Skills

Data Engineering
Cloud Architecture
Python
SQL
Spark
PySpark
Snowflake
Databricks
AWS
Data Governance
Data Modeling
CI/CD
Docker
Kubernetes
Distributed Systems
Technical Leadership

Benefits

Hybrid work environment
Professional development resources

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Cloud-native
Data Platform
AWS
Python
SQL
Spark
PySpark
Snowflake
Databricks
Redshift
Docker
Kubernetes
DataOps
CI/CD
Data Governance
Data Modeling
Distributed Systems
Data Lake
Lakehouse
Delta Lake
Apache Iceberg
Financial Services
SLA
GitHub Copilot
Claude Code
Cursor
Architecture
Data Delivery
Performance Optimization

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