Postuler

Publié le mois dernier

Senior Data Engineer - Zonda - Toronto, Ontario

@ Zonda Home Canada, Inc

Toronto, Ontario

120k–150k $/anTemps plein6+ ans d’expérience
Postuler
SIGNAUX

En bref

Zonda Home Canada, Inc is hiring a Senior Data Engineer in Toronto, Ontario, to design, build and operate reliable, scalable data pipelines on a cloud data platform. The role is full-time and on-site Monday through Friday, with a base salary of CAD $120,000 to $150,000 per year. Candidates must already be eligible to work full-time in Canada, as no visa sponsorship is offered.

Salaire :

120 000 $–150 000 $ par année

Responsabilités :

  • Design, build and maintain scalable data pipelines and data products
  • Develop and optimize transformations using SQL, Python, dbt, Airflow and Snowflake
  • Troubleshoot production issues and perform root-cause analysis
  • Implement automated testing, data-quality checks and monitoring
  • Optimize large-scale data workloads for performance and cost

Résumé des exigences :

  • 6+ years of data engineering or related experience
  • Strong Python and advanced SQL skills
  • Hands-on experience with dbt, Airflow, PostgreSQL and Snowflake
  • Experience with AWS data services such as S3, Glue, MWAA and IAM
  • Experience with Git, code review and CI/CD workflows

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesRégime de retraiteCongés payésAide aux étudesMieux-être
Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-09-28
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience6 an(s) et plus
Heures par semaine40 (estimé)
Horairejour
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Vérificationsdrogues et alcool
Avantages mentionnésCongés payés généreux, Régime de retraite, Aide aux études, Prime de rendement, Actions ou participation, Mieux-être, Aide au transport en commun

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Zonda Home Canada, Inc

ChampValeur
Offres sur Jobsy3
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.


#LI-VP1

<br>

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

Emplois semblables

  • Data Engineer

    Ottawa, ON
    Contrat

    Celebal Technologies

    12+ ansExperience: 12+ Years; Key Requirements:; Experience with data quality, governance, and scalable data architecture

    Data engineering, Databricks, Data modelling, SQL, Python, Scala

  • Data Engineer / Python Developer

    LaSalle, ON
    Temps plein

    SIDRAM TECHNOLOGIES

    Good working experience with python to develop Custom Framework for generating of rules (just like rules engine); Required Skills

  • Senior Data Engineer – Capital Markets (Databricks)

    Mississauga, ON
    Contrat

    Precision Technologies

    Experience: 8+ Years; Candidates with strong Databricks development experience, advanced Python/PySpark and SQL skills, and a background in Capital Markets or Investment Banking will be highly preferred; Develop and…

  • Junior Data Engineer – Azure Databricks / ADF / PySpark

    Toronto, ON
    Contrat

    ThoughtStorm

    Candidates need a degree or diploma in computer science, software engineering, IT or a related field, plus hands-on Azure data engineering experience. Strong Python, SQL and PySpark skills, along with Agile teamwork, are required.

    Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure DevOps, Git, Apache Spark

  • Data Engineer

    Toronto, ON

    Scotiabank

    3+ ansCandidates need 3 to 5 years of data engineering experience, strong SQL and data modeling skills, and experience owning production pipelines on enterprise platforms in Google or Azure cloud. Experience with Spark, Python, NiFi, Trino, Autosys or Cloud Composer, and Power BI is expected.

    Spark, NiFi, Trino, Autosys, Cloud Composer, Power BI

  • Data Engineer - MS Fabric & Azure Data Platform

    Toronto, ON
    Contrat

    Akkodis

    5+ ansCandidates need 5+ years of data engineering experience, including hands-on Microsoft Fabric work in production and strong Azure Data Factory and advanced T-SQL skills. Experience designing dimensional and enterprise warehouse models and knowledge of data governance and cloud architectures are also required.

    Microsoft Fabric, Azure Data Factory, T-SQL, Dynamics 365, Microsoft Dataverse, Power BI

  • Senior Data Engineer

    Toronto, ON
    Temps plein

    Exchange Solutions

    5+ ansExchange Solutions needs expert SQL, strong Python, deep dbt and data modelling experience, plus cloud data warehouse skills. A degree in data engineering, 5+ years of production pipeline ownership and experience with data quality and observability are required.

    dbt, SQL, Python, Snowflake, BigQuery, Databricks

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.