Senior Data Engineer - Zonda

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.

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.

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.

• 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.

• 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.
• Han…