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Senior Data Engineer - Zonda - Toronto, Ontario
Toronto, ON, CA
Live, first seen by us 46 days ago- Pay
CAD 120,000–150,000/year · BaseLocation-specific pay — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in Canada
We welcome all qualified candidates who are currently eligible to work full-time in Canada to apply
What you’ll work on
Full postingDesign, build, test and maintain data pipelines and data products
Develop and optimize transformations and orchestration with dbt, Airflow, Glue and Snowflake
Add automated testing, data-quality checks, monitoring and failure recovery
Troubleshoot production pipeline issues and perform root-cause analysis
Optimize large-scale data workloads for performance, scalability and cost
From the employer’s posting
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.
Implement automated testing, data-quality checks, monitoring, failure handling, and recovery.
Troubleshoot production issues and perform root-cause analysis across pipelines and databases.
Optimize large-scale data workloads for performance, scalability, and cost.
About CoStar
Zonda is redefining the future of housing.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 202646 days ago
- Recorded sightings
- 183
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
CoStar is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- dbt
- Grafana
- PostgreSQL
- S3
- Snowflake
- SQL Server
- Airflow
Where the posting names them
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:
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:
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?
Your next step
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Senior Data Engineer - Zonda - Toronto, Ontario
Job Description
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. #LI-VP1
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Job Description
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. #LI-VP1
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Toronto, ON, CA
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.
- Work authorization
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. #LI-VP1