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Remote Data Engineer Jobs in Ontario (NOW HIRING)

Senior/Lead Data Engineer Current Need: The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis ...

Senior/Lead Data Engineer Current Need: The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis ...

Senior Manager - Data Engineering

Toronto, ON · On-site +1

CA$120K - CA$160K/yr

Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the ... Partner with the Lead Data Engineer on system design of our application databases and services ...

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... You'll work at the intersection of data engineering, business intelligence, finance analytics ...

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... You'll work at the intersection of data engineering, business intelligence, finance analytics ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be responsible ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

Showing results 21-40

Remote Data Engineer information

See Ontario salary details

$68.5K

$127.3K

$162K

How much do remote data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data engineer in Ontario is $127,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $145,000.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Ontario? The most popular types of Data Engineer jobs in Ontario are:
What are popular job titles related to Remote Data Engineer jobs in Ontario? For Remote Data Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Ontario look for? The top searched job categories for Remote Data Engineer jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Engineer jobs? Cities in Ontario with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, 5% Temporary, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,317 per year, or $61.2 per hour.

L3 Data Management (GCP)

TELUS

Toronto, ON • On-site, Remote

Other

Re-posted 28 days ago


TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 97 rated telecommunications companies


Job description

Description

Our team and what we'll accomplish together


Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you'll do

  • Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements
  • Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources
  • Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications
  • Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions
  • Assist in implementing change management and release management strategies to support smooth deployments
  • Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation
  • Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)
  • Develop and optimize data models and explores within the Looker platform under guidance from senior team members
Qualifications
  • 4-6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development
  • 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)
  • Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts
  • Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio
  • Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics
  • Understanding of DevOps and automation principles
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

  • Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)
  • Exposure to IaC tools such as Terraform or Pulumi
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with Snowflake or Postgres SQL
  • Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments
  • Experience with Azure or AWS
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

#LI-Remote #LI-HYBRID 


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