ZipRecruiter

Log In

1

Data Engineer Google Jobs in Toronto, ON (NOW HIRING)

Pelmorex

Data Engineer

Oakville, ON · On-site

You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google ... Engineering Rigor Strong commitment to automated pipeline testing, continuous integration ...

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ... Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, and similar. * Model ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

Google Ads, Meta, or similar platforms) * Advanced degree (Master's or Ph.D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field * Knowledge of database design and ...

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

We prioritize open-source technologies in our data stack while leveraging Google Cloud Platform ... Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and ...

ShyftLabs

Senior Data Engineer

Toronto, ON · On-site

Cloud & DevOps * Architect cloud-native data platforms across AWS, Azure, or Google Cloud Platform. * Implement Infrastructure-as-Code using Terraform or similar technologies. * Build and maintain CI ...

Virtusa

Data Engineer

Toronto, ON

Cloud Developer - Architecture Location PCS CA~TORONTO Years of Experience 5-7 Years Job Summary We ... cloud solutions, particularly in Google Cloud Platform (GCP). This role requires a deep ...

Common CENTS Solutions

BI Data Engineer

Markham, ON · On-site

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid ... Experience with Google charts API * Building and maintaining API layer for data acquisition and ...

Paradise Valley Country Club

BI Data Engineer

Markham, ON · On-site

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid ... Experience with Google charts API * Building and maintaining API layer for data acquisition and ...

Pelmorex

Data Engineer, DMP

Oakville, ON · Hybrid

As a Data Engineer you will play a critical role in harnessing behavioral data collected from ... Work extensively with analytics systems such as BigQuery, Google Cloud Dataflow, Apache Spark, and ...

Flinks

Senior Data Engineer

Toronto, ON · Remote

Our stackPython, SQL, Bash Google Cloud Platform (GCP) BigQuery and dbt Airflow (Cloud Composer ... Data Engineering Expertise: Strong experience with ETL/ELT development, data modeling, schema ...

Royal Bank of Canada

Sr Data Engineer

Mississauga, ON · On-site

CA$80K - CA$130K/yr

Snowflake, Databricks, AWS, Azure, or Google Cloud (GCP) * Experience transforming enterprise-level ... Experience with Data Warehouse design and Data Modelling * Computer Science or Engineering degree ...

''

Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

The Data Engineer Manager partners closely with data architects, analytics teams, and business ... Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud * Experience leading ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site

Experience with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google ... Data Pipelines, Data Warehousing (DW), DevOps, ETL Processing, Git, Group Problem Solving ...

Scotiabank

Senior Data Engineer with Cloud

Toronto, ON · On-site

Certifications such as Azure Data Engineer Associate or Google Professional Data Engineer . * Experience with financial compliance standards (e.g., SOX, Basel, IFRS). * Experience working in Agile ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro Advanced: Data Scientist certification preferred. Benefits * Competitive Salary * Healthcare Benefit Package

next page

Showing results 1-20

All JobsData Engineer Google JobsData Engineer Google Jobs in Toronto, ON

Data Engineer Google information

See Toronto, ON salary details

$27.2K

$117.7K

$163.7K

How much do data engineer google jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer google in Toronto, ON is $117,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,002.00 and $139,333.00 per year, depending on experience, location, and employer.

What does a data engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do data engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a data engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What are popular job titles related to Data Engineer Google jobs in Toronto, ON?

For Data Engineer Google jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Google jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Google jobs in Toronto, ON are:

Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $117,687 per year, or $56.6 per hour.

Data Engineer

Pelmorex

Oakville, ON • On-site

Full-time

Retirement, PTO

Posted 21 days ago

Job description

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 
Personal Spending Account 
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account) 
Summer Hours 
Start your weekend earlier during the summer months!
17 Paid Days Off (in addition to 13 Personal Days) 
This includes an extra day off during the month of your birthday - our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
 
HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
 
Read about us here! (spoiler alert... we are the home of The Weather Network )
 
Proud to share that we ranked #5 Most Admired Company in Canada in Leger's 2026 Reputation Study, among 334 organizations
 
 
WHY WE NEED YOU? GLAD YOU ASKED...
 

At Pelmorex, we're on a mission to transform weather and environmental data into decision-grade insights for businesses and consumers. Our B2B products help organizations make smarter, safer, and more profitable decisions.

To support this mission, we're growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We're looking for a Data Engineer who enjoys building reliable, scalable data solutions and is passionate about turning raw data into high-quality datasets that power products and business decisions.

The Opportunity
You will play a key role in building and maintaining the data systems that power multiple B2B products.. Your work will directly shape how data is ingested, validated, transformed, and consumed across our B2B product portfolio, ensuring it is reliable, scalable, and decision-ready for our customers. In this role, you'll collaborate closely with a small, entrepreneurial team of Engineers, Product Managers, and Data Scientists to turn raw data into real-world impact.

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville or Montreal location. 
WHAT DOES THE DAY-TO-DAY LOOK LIKE

  • Build the Backbone: You will develop and maintain ETL/ELT pipelines using modern distributed compute frameworks such as Apache Beam and Snowpark.

  • Orchestrate Complex Workflows: You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google Workflows, and Snowflake Tasks.

  • Manage Cloud Data Platforms: You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage to ensure scalable and efficient data solutions.

  • Own Data Quality & Rigor: You will implement robust data validation frameworks, write unit/integration tests for data pipelines, establish CI/CD, and set up proactive monitoring for data integrity and system health.

  • Optimize Performance: You will help improve data system performance, reduce costs, and increase reliability.

  • Collaborate Across Teams: You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs.


WE ARE HOPING YOU HAVE

  • Education
    Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.

  • Experience & Ownership
    2-5 years of professional experience in Data Engineering with hands-on experience building and supporting production data systems at scale.

  • Data Fundamentals
    Solid understanding of ETL/ELT patterns, data modeling, partitioning strategies and pipeline design.

  • Cloud Expertise
    Experience deploying, managing, or supporting data workloads in the cloud (GCP preferred).

  • Coding Fundamentals
    Strong proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.

  • Engineering Rigor
    Strong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.

NICE TO HAVE

  • Experience working with high-volume geospatial, weather, or time-series datasets.

  • Familiarity with containerized environments (Docker, Kubernetes) and managing data workloads on cloud compute (e.g., Cloud Run, GKE).

  • Exposure to infrastructure-as-code principles (e.g., Terraform)

 
DON'T MEET ALL THE REQUIREMENTS? DON'T WORRY...
Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having "desired" qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don't subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment
INTERESTED? IT GETS BETTER....
  • Course Reimbursement Program We want you to keep learning, so we can too
  • Open and transparent communication, including All Hands Meetings with our CEO
  • Pelmorex Learning Academy
  • Your mental health is important to us! We partner with our benefits provider for virtual counseling sessions
  • Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work!
  • Free online doctor visits with Maple Online Healthcare
  • While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up We have an anonymous reporting platform to ensure everyone's voice is heard
OUR PROMISE TO YOU...

We're highly focused on doing the right thing.
We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We're a team that enjoys learning new technologies and we're open to trying new things
We'll try our best not to bog you down with boring meetings

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability-safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We're Pelmorex. Imagine it and we'll deliver it.

Fair and Authentic Interview Experience
We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.
We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.

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.
apply for this job

Apply