Find work in Canada.

326,484 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 4 mins ago
Senior Full Stack Developer – iOS (Swift), NestJS/Node.js
BeachHead
Toronto, ON
$70 to $75 CAD / hour
Contract
Working with one of our top financial clients, this role calls for a Senior Full Stack Developer – iOS (Swift), NestJS/Node.js. This position involves developing and maintaining…
Added 4 mins ago
Principal Azure Databricks Architect
Hays
Toronto, ON
Contract
Develop scalable data pipelines using Azure Data Factory, Databricks, Python, PySpark, and SQL.
Added 4 mins ago
Python Full stack developer (Django, React & AI Experience)
Zodiac Solutions, Inc
Toronto, ON
Full-time
Role: Python Full stack developer (Django, React & AI Experience)
Added 4 mins ago
Systems Testing/QA Specialist - Senior
VStream Labs Inc.
Toronto, ON
$40 to $45 CAD / hour
Contract
SQL or Oracle data validation, CI/CD, Git, scripting, and test-data management.
Added 4 mins ago
Account Executive
Bosch Building Technologies North America
Toronto, ON
Full-time
…Intrusion Systems, Client-Servicer security applications, MS SQL databases, Server and Storage…
Added 4 mins ago
Data Architect: Snowflake
Yochana
Markham, ON
Full-time
Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
Added 4 mins ago
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
Full-time
…simultaneously forging long-term relationships with our real estate developer partners. We are committed to excellence in everything we do and building trust with all our…
Added 4 mins ago
Financial Sector Specialist Analyst
Bank of Canada
Ottawa, ON
Full-time
…to leverage tools for data extraction and aggregation (e.g., SQL and…
Added 19 mins ago
Senior Business Systems Analyst
BC Pensions
Victoria, BC
Full-time
Experience with Oracle SQL, PL/SQL, and Oracle Cloud Reporting tools.
Added 19 mins ago
Engineering Team Lead
Analyticsmart
Toronto, ON
$160,000 to $180,000 CAD / year
Proficiency in SQL, MS SQL, and other databases.
Added 19 mins ago
Manager, Unsecured Credit Risk
Scotiabank
Toronto, ON
Added 19 mins ago
Sr Consultant, Analytics Consulting
TransUnion
Burlington, ON
Full-time
Advanced analytical and programming capabilities using R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud-based platforms.
Added 19 mins ago
Treasury Analyst
TD
Toronto, ON
Full-time
Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, SQL and R.
Added 19 mins ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 19 mins ago
Senior Technology Resilience and Availability Management Analyst
TD
Toronto, ON
Full-time
Knowledge of database resilience methods for platforms such as Oracle, Microsoft SQL Server, and PostgreSQL, including replication, clustering, backup, restore, and point-in-time recovery.
Added 19 mins ago
Solutions Design IT Specialist
TD
Toronto, ON
Full-time
Databricks (Lakehouse Architecture); Apache Spark; PySpark; Python; SQL (Advanced)
Added 19 mins ago
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC · Complexe Desjardins Montréal
Full-time
Programming knowledge using Python, SQL, SAS, R, C++, MATLAB or equivalent technologies
Added 34 mins ago
Senior Digital Specialized IT Consultant
iPartner Consulting
Toronto, ON
Contract
Added 34 mins ago
Java Fullstack with React Developer
Futran Solutions
Mississauga, ON
Full-time
Databases: Proficiency in SQL (PostgreSQL, MySQL, Oracle) and familiarity with NoSQL (MongoDB, Redis).
Added 34 mins ago
Business System Analyst
SPECTRAFORCE
Toronto, ON
$75 to $80 CAD / hour
Contract
Strong SQL and data analysis skills, including experience working with large and complex datasets.
Added 34 mins ago
Python Developer
VySystems
Mississauga, ON
Full-time
Added 34 mins ago
Engineering Team Lead
Analyticsmart
Toronto, ON
Full-time
· Proficiency in SQL, MS SQL, and other databases.
Added 34 mins ago
Data Architect: Snowflake
Yochana
Markham, ON
Full-time
Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
Added 35 mins ago
Growth Intelligence Analyst – Simplii Financial
CIBC
Toronto, ON
Full-time
…familiarity with Tableau, Power BI, or Structured Query Language (SQL) is an…
Added 35 mins ago
Full Stack Developer - FNV Diagnostics Cloud
Ford Motor Company
Waterloo, ON
Full-time
The FNV Diagnostics Cloud team is looking for a senior developer to solve challenging problems related to scalability, governance, and data enhancement for our diagnostics platform.

CoStar

Senior Data Engineer - Zonda - Toronto, Ontario

Toronto, ON, Canada

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Experience: 6+ years of professional experience in data engineering or a closely related discipline.
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

Senior Data Engineer - Zonda - Toronto, Ontario

<br>

Job Description

<br>

Company Overview:

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

About Zonda:

Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry. We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you’ll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, technologists, and marketers.

Learn more about Zonda

The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.

This is a hands-on engineering role focused on data pipeline development, performance optimization, production reliability, and continuous improvement. The Senior Data Engineer will independently own complex data engineering work from requirements through production and ensure solutions are maintainable, testable, observable, and performant.

This position will be located in Toronto, Ontario and is in office Monday through Friday.

Responsibilities:

Design, build, test, and maintain reliable, scalable data pipelines and data products.
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Translate business requirements into maintainable technical designs and production-ready solutions.
Implement automated testing, data-quality checks, monitoring, failure handling, and recovery.
Optimize large-scale data workloads for performance, scalability, and cost.
Troubleshoot production issues and perform root-cause analysis across pipelines and databases.
Follow Git-based development, code review, CI/CD, and controlled release practices.
Ensure data products are documented, observable, governed, and supported by appropriate metadata and lineage.
Reduce technical debt, manual processes, and recurring operational issues through automation and improved design.
Collaborate with Product Management, Application Engineering and business stakeholders.

Basic Qualifications:

6+ years of professional experience in data engineering or a closely related discipline.
Strong Python development skills for data pipelines, automation, integrations, and supporting data applications.
Advanced SQL skills and experience working with large-scale datasets.
Strong understanding of data modeling, database design, and data transformation patterns.
Experience with dbt, including model development, dependency management, testing, incremental processing, and production deployment.
Experience with Airflow, including DAG development, orchestration, dependencies, retries, failure handling, scheduling, and production operations.
Hands-on PostgreSQL experience, including complex SQL development, database design, indexing, query optimization, and performance tuning.
Hands-on Snowflake experience in production data workloads context.
Experience working with AWS data services such as S3, RDS/Aurora, Glue, MWAA, IAM, and CloudWatch.
Experience implementing automated data validation and quality controls.
Experience with Git, pull requests, code review, conflict resolution and CI/CD workflows.
Demonstrated ability to troubleshoot complex production pipeline and data issues.
Understanding of monitoring, failure recovery, and production support practices.

Preferred Qualifications:

Experience with Amazon Aurora PostgreSQL.
Experience working with datasets containing hundreds of millions or billions of records.
Experience with AWS Glue and Amazon MWAA.
Experience with geospatial data and PostGIS.
Experience with SQL Server.
Experience with DataHub or another metadata, lineage, or governance platform.
Experience with Grafana or comparable observability tooling.
Experience with database schema migration and version-control frameworks.
Experience working within controlled production release and change-management processes.
Strong hands-on engineering capability and ownership.
Ability to independently deliver complex data engineering solutions.
Strong analytical, troubleshooting, and root-cause-analysis skills.
Ability to work effectively with large and complex datasets.
Strong focus on reliability, performance, scalability, and maintainability.
Ability to balance delivery requirements with engineering quality.
Strong written and verbal communication.
Ability to collaborate effectively with technical and non-technical stakeholders.

What's in it for you?

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement.

Our benefits package includes (but is not limited to):
Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
Life, legal, and supplementary insurance
Virtual and in person mental health counseling services for individuals and family
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
Access to CoStar Group’s Employee Resource Groups
Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.

Base Compensation: CAD $120,000-$150,000 (annually)

We welcome all qualified candidates who are currently eligible to work full-time in Canada to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.

<br>

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Apply About employer

More about this job

Responsibilities

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data products within a modern cloud environment. This role involves optimizing large-scale data workloads, ensuring production reliability, and collaborating with cross-functional teams to deliver high-quality data solutions.

Requirements

Candidates must have at least 6 years of professional experience in data engineering with strong proficiency in Python, SQL, and cloud-based data platforms. The role requires hands-on expertise in dbt, Airflow, and AWS services, along with a demonstrated ability to troubleshoot complex production issues.

Skills

Python
SQL
Data engineering
Data modeling
Dbt
Airflow
PostgreSQL
Snowflake
AWS
Data pipelines
CI/CD
Git
Performance tuning
Data quality
Cloud computing

Benefits

Medical insurance
Vision insurance
Dental insurance
Prescription drug coverage
Life insurance
Legal insurance
Supplementary insurance
Mental health counseling services
Commuter benefits
Parking benefits
401(k) retirement plan
Employee stock purchase plan
Paid time off
Tuition reimbursement
Fitness center membership

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Dbt
Airflow
PostgreSQL
Snowflake
AWS
S3
RDS
Glue
MWAA
CloudWatch
Data Modeling
CI/CD
Git
Data Pipelines
Performance Optimization
Data Quality
Observability
Metadata
Governance
Automation
Real Estate
Analytics

Report this job