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.

Senior Data Quality

Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate, complete, consistent, and fit for business use. Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch . This is a hands-on senior engineering role focused on end-to-end data pipeline testing, automated validation, regression testing, test-data management, and business-rule verification .

Product, Research, Advisory, Economics, Data Engineering, and other business subject-matter experts Data Engineers remain responsible for testing the pipelines and transformations they build.

The Senior Data Quality

Engineer provides reusable testing frameworks, curated test data, broader regression coverage, and independent validation for critical or higher-risk changes . This position will be located in Toronto, Ontario and is in office Monday through Friday. Data Pipeline & Regression Testing Design and execute testing strategies for ETL/ELT pipelines, transformations, integrations, and published data products.

Validate data end to end, from source ingestion through transformation and final output. source-to-target reconciliation Build regression coverage to detect unintended changes caused by pipeline, schema, transformation, or business-rule updates. Test large datasets using appropriate sampling, aggregate reconciliation, full-population comparisons, and targeted edge cases. Validate nulls, duplicates, referential integrity, incremental processing, historical behavior, distributions, and other material data conditions.

Business-Driven Test Design Work with business and domain experts to understand how critical data is expected to behave. Translate agreed business definitions, methodologies, calculations, and acceptance criteria into executable test scenarios. Identify business-critical attributes, expected outcomes, edge cases, and quality thresholds.

Validate whether outputs conform to agreed business expectations, not simply whether pipelines execute successfully. Maintain traceability between requirements, test cases, defects, and release-validation evidence.

Test Data

Management curated test datasets and expected results Work with business SMEs and Data Engineers to identify representative records and expected outcomes. synthetic, masked, controlled,



or approved production‑derived data as appropriate to maintain safe test‑data practices. Maintain reusable baseline datasets as source data, schemas, methodologies, and business rules evolve. Automation & Quality Frameworks SQL, Python, dbt, and other appropriate technologies .

Automate checks for freshness, volume, completeness, uniqueness, validity, referential integrity, business rules, reconciliation, distribution, and drift. Build standardized testing patterns reusable across data products and pipelines. Partner with Data Platform Engineering to integrate quality checks into Enable critical validation failures to prevent downstream execution or publication where agreed quality thresholds are not met.

Maintain risk‑based regression suites for critical data products and pipelines. material or higher‑risk data releases before production publication. Compare candidate outputs against approved baselines or production results to identify unexpected differences. Provide objective quality evidence, identified risks, and release‑readiness recommendations; Establish ongoing monitoring for key data‑quality indicators and partner with Data Platform Engineering to surface actionable alerts through Grafana, CloudWatch, DataHub, or related capabilities.

Investigate quality failures with Data Engineers and convert recurring defects into automated regression tests or preventative controls.

Quality

Standards & Enablement Establish reusable data‑testing standards, methodologies, templates, and best practices. Define expectations for test planning, evidence, defect documentation, and risk‑based validation.

Help Data

Engineers apply appropriate project‑level testing while providing independent validation where additional assurance is warranted. Mentor engineering teams on reconciliation, test‑data design, regression testing, and data‑quality engineering practices. Continuously improve test coverage and automation based on business impact and risk. in Data Quality Engineering, Data Testing, Quality Engineering, Data Engineering, or a related discipline, including significant experience testing production data systems.

ETL/ELT and end‑to‑end data pipeline testing . source‑to‑target reconciliation, regression testing, and large‑dataset validation . SQL skills for data analysis, reconciliation, comparison, and validation. Strong scripting or test‑automation skills, preferably Python .

Experience designing automated data‑testing or data‑quality frameworks.

Experience creating test cases, expected results, and curated test datasets for complex data scenarios.

Experience validating data in modern cloud data platforms ;

Experience testing pipelines built with technologies such as dbt, Apache Airflow, AWS Glue, or comparable ETL/ELT frameworks . Strong understanding of data‑quality dimensions including accuracy, completeness, consistency, uniqueness, validity, freshness, referential integrity, and distribution.

Experience with defect analysis, release validation, and root‑cause investigation. Ability to work directly with business SMEs to translate complex domain requirements into measurable test scenarios. Robust analytical and communication skills, including the ability to explain quality findings and risks to both technical and business audiences. dbt testing and custom tests AWS Glue and S3 Data profiling, anomaly detection,



and statistical or distribution‑based validation Data‑quality scorecards and quality KPIs CI/CD integration for automated data testing Large‑scale or high‑volume data validation data‑testing fundamentals, analytical depth, automation capability, and the ability to understand both the technical and business meaning of data .

Success means creating a data‑quality capability where: Critical data sets have documented, repeatable, and risk‑appropriate test coverage. Business definitions and expected outcomes are translated into measurable tests. Reusable test data and expected results cover critical scenarios and edge cases.

Data pipelines are validated from source through published output. Regression and reconciliation tests identify unintended changes before publication. Critical quality failures prevent incorrect data from reaching downstream products.

Recurring production issues become automated regression coverage. Data Engineers can use shared testing capabilities across projects. Business teams have greater confidence that published data reflects agreed definitions, methodologies and expected outcomes.

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.

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 401(K) retirement plan with matching contributions On‑site fitness center and/or reimbursed fitness center membership costs (location dependent) 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. we maintain a drug‑free workplace and perform pre‑employment substance abuse testing 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 37 years, giving us the perspective to create truly unique and valuable products and services.

We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry and for our customers. 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. CoStar Group is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability.

📌 Senior Data Quality Engineer - Zonda - Toronto, Ontario
🏢 CoStar Realty Information
📍 Toronto