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Added 10 days ago
Lead
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Added 12 days ago
Senior Data Engineer - Zonda - Toronto, ON
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Toronto, ON
$120,000 to $150,000 CAD / year
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Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 12 days ago
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CoStar

Senior Data Engineer - Zonda - Toronto, ON

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 18, 2026

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Original job description

Senior Data Engineer - Zonda - Toronto, ON

<br>

Job Description

<br>

Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON

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.

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

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More about this job

Responsibilities

The Senior Data Engineer will design, build, and maintain scalable data pipelines and products within a modern cloud environment. They are responsible for optimizing data workloads, ensuring production reliability, and collaborating with cross-functional teams to deliver high-quality data solutions.

Requirements

Candidates must have 6+ years of professional experience in data engineering with strong proficiency in Python, SQL, and cloud-based data platforms. The role requires expertise in orchestration tools like Airflow, transformation tools like dbt, and a solid understanding of database design and performance optimization.

Skills

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

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
Snowflake
PostgreSQL
AWS
S3
RDS
Aurora
Glue
MWAA
IAM
CloudWatch
Data Modeling
CI/CD
Git
Data Pipelines
Performance Tuning
Automation
Data Quality
Real Estate
Analytics
Metadata
Governance
PostGIS
DataHub
Grafana
Observability

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