Jobs in Canada

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Added 1 hour ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
Champion Modern Data Stack Adoption: Evaluate and introduce best-in-class tooling (Databricks, Snowflake, dbt, Kafka, etc.) aligned with engineering principles and business needs.
Added 10 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 15 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 1 day ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
…modern data stack: Segment and Amplitude for behavioral data, Snowflake and dbt for warehousing and modeling, Prefect for orchestration, and Sigma for BI. You’ll partner with the BI team…
Added 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch.
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 5 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Added 3 days ago
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 3 days ago
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 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch.
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 3 days ago
Data Engineer
Jim Peplinski Capital
Calgary, AB
Full-time
We are growing, and we are looking for a Data Engineer who likes to build things from scratch, solve hard problems, and get things done. We're a small, senior technology team on an…
Added 2 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
Full-time
Model and optimize our Snowflake warehouse - dimensional models, dbt transformations, and the semantic layer that analytics and product teams build on.
Added 2 days ago
Senior Data Engineer
Galent
Markham, ON
Contract
5 years of Snowflake dbtCoreCloud and AWS Cloud Technologies
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch.
Added 3 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
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 2 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
Full-time
Model and optimize our Snowflake warehouse - dimensional models, dbt transformations, and the semantic layer that analytics and product teams build on.
Added 3 days ago
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to…
Added 4 days ago
Senior Data Engineer
RBC
Toronto, ON
Full-time
We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to…
Added 3 days ago
Senior Analytics Developer
CNN
Ottawa, ON · Kanata, ON
Full-time
You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities.
Added 4 days ago
Senior Analytics Developer
Warner Bros. Discovery
Ottawa, ON
Full-time
You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities.
Added 3 days ago
Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
Contract
We are looking for a Data Engineer with strong hands-on experience in Snowflake and dbt (Must Have).
Added 3 days ago
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
Contract
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Data Engineer Tech Lead a long-term opportunity at Mississauga, ON (Hybrid).
Added 4 days ago
Lead Data/Analytics Engineer
dutch
Vancouver, BC
Full-time
…modern data stack: Segment and Amplitude for behavioral data, Snowflake and dbt for warehousing and modeling, Prefect for orchestration, and Sigma for BI. You’ll partner with the BI team…

APPLY

Senior Data Engineer

Canada

Job type: Full-time
Experience: 5+ years of experience in data engineering, building modern cloud-based data platforms.
Posting language: English
Posted: Aug 4, 2026

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Original job description

About Apply

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com .

LOCATION: APPLY is hybrid/remote friendly. The preferred candidate should be based in either the Greater Toronto Area or the Greater Vancouver Area of Canada, working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone).

THE ROLE:

RESPONSIBILITIES:

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

REQUIREMENTS:

Certified SnowPro.
Experience collaborating with distributed teams across North America and Latin America.
5+ years of experience in data engineering, building modern cloud-based data platforms.
Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
Advanced SQL skills for analytics engineering and data transformation.
Proficiency in Python for data processing, automation, and orchestration.
Experience with dbt or similar analytics engineering frameworks.
Familiarity with orchestration tools such as Dagster or Apache Airflow.
Experience working with clickstream and event data - ingestion, modeling, and real-time or near-real-time processing at scale.
Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
GCP certified (Associate Cloud Engineer or Professional Data Engineer).
Solid understanding of data privacy, governance, and compliance best practices.
Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
Excellent English communication and collaboration skills.

NICE TO HAVES:

Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake.
Familiarity with GenAI or LLM-enabled analytics use cases (e.g., semantic layers, AI-assisted insights, decisioning).
Experience with Databricks or hybrid Snowflake + Databricks architectures.
Exposure to real-time or near-real-time data pipelines.
Experience with BI tools (e.g., Looker, Tableau, Power BI).
Infrastructure as Code experience (e.g., Terraform) in data environments.
Familiarity with CDPs, marketing platforms, and digital experience ecosystems (e.g., Segment, Contentful, personalization tools).

LIFE AT APPLY

People are at the core of everything we do at APPLY. We provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:

Agentic Delivery: Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements with international brands that have a global impact.

An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.

AI & Strategic Upskilling: Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.

Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time off (PTO); allowing ample time away from work to promote overall well-being.

Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.

Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

APPLY is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email [email protected] .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and cloud architectures to support analytical and operational workloads. Manage cloud data warehouses and collaborate with analytics teams to enable self-service reporting and BI capabilities.

Requirements

Requires 5+ years of data engineering experience with strong proficiency in Snowflake, Python, SQL, and GCP. Must hold SnowPro and GCP certifications and have experience with orchestration tools and event data processing.

Skills

Snowflake
Python
SQL
BigQuery
dbt
Dagster
Apache Airflow
GCP
Data Modeling
ETL/ELT
Data Governance
Clickstream Data Processing
Machine Learning
Data Pipeline Design
Cloud Architecture
Infrastructure as Code

Benefits

Generous Training Budgets
Mentorship
Flexible Personal Time Off
Customizable Extended Health Plan
Customizable Dental Plan
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
SnowPro
Python
SQL
BigQuery
dbt
Dagster
Apache Airflow
GCP
Associate Cloud Engineer
Professional Data Engineer
ETL
ELT
Clickstream
Event Data
Machine Learning
Feature Engineering
GenAI
LLM
Snowflake Cortex
Snowpark
Databricks
Looker
Tableau
Power BI
Terraform
Segment
Contentful
Data Governance
Data Privacy

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