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Remote Data Engineering Jobs in Ontario (NOW HIRING)

Senior Manager - Data Engineering

Toronto, ON ยท On-site +1

CA$120K - CA$160K/yr

Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the ... Raise engineering standards across data and analytics engineering and own incident response for ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Data Platform Engineer Analyst

Toronto, ON ยท On-site +1

CA$94K - CA$136K/yr

Platform Engineering (Mesh) Location: Toronto, ON About the job Ready to push the limits of what ... The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work.

Data Platform Engineer Analyst

Mississauga, ON ยท On-site +1

CA$94K - CA$136K/yr

Platform Engineering (Mesh) Location: Toronto, ON About the job Ready to push the limits of what ... The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work.

New

Data Platform Engineer Analyst

Unionville, ON ยท On-site +1

CA$94K - CA$136K/yr

Platform Engineering (Mesh) Location: Toronto, ON About the job Ready to push the limits of what ... The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work.

New

Data Platform Engineer Analyst

Maple, ON ยท On-site +1

CA$94K - CA$136K/yr

Platform Engineering (Mesh) Location: Toronto, ON About the job Ready to push the limits of what ... The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work.

New

Data Platform Engineer Analyst

Brampton, ON ยท On-site +1

CA$94K - CA$136K/yr

Platform Engineering (Mesh) Location: Toronto, ON About the job Ready to push the limits of what ... The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work.

New

Support light data engineering work in Dataform as needed to keep pipelines and data models healthy ... Strong communication skills, especially in a remote, cross-functional, and cross-border environment

New

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 ...

Lead Data Engineer

Toronto, ON ยท Remote

CA$220K - CA$300K/yr

This role combines hands-on data engineering execution with practical team leadership, helping the ... This is a fully remote position that offers a competitive salary range of $220,000 to $300,000 USD ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy. * Mentor and guide data engineers through design reviews, code reviews, and technical ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy. * Mentor and guide data engineers through design reviews, code reviews, and technical ...

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Showing results 1-20

Remote Data Engineering information

See Ontario salary details

$25.5K

$137.2K

$234.5K

How much do remote data engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data engineering in Ontario is $137,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $170,000.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Ontario? The most popular types of Data Engineering jobs in Ontario are:
What are popular job titles related to Remote Data Engineering jobs in Ontario? For Remote Data Engineering jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Ontario look for? The top searched job categories for Remote Data Engineering jobs in Ontario are:

Senior Manager - Data Engineering

Takeaway

Toronto, ON โ€ข On-site, Remote

CA$120K - CA$160K/yr

Full-time

Re-posted 5 days ago


Job description

Ready for a challenge?
Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience.
Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.


About this role
The Canadian Data & Analytics function is at an inflection point. As Skip invests to become an AI-first business, the reliable cross-cloud pipelines, trusted consumption layer and engineering discipline that underpin it sit with the Data Engineering team.

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer experiences across Skip Canada.

You'll operate at the intersection of a global AWS streaming platform and a Canadian GCP analytical estate (BigQuery, dbt, Snowplow, Tableau), partnering with Global Data Engineering, local Product & Tech and the wider DNA team.

The team and platform are mid-transformation, so this is a build role - technical leadership and team-building in equal measure. You'll bring clarity to standards and priorities, grow the team's craft and represent Data Engineering to senior stakeholders, leading, delivering and caring.

Location: Winnipeg/Toronto Remote
Reporting to: Associate Director of Data & Insights


These are some of the key components to the position:

  • Own end-to-end reliability of the cross-cloud pipeline - batch and streaming architectures and external APIs through to GCP (BigQuery, Dataflow, dbt) and consumption.
  • Lead the build-out of Canada's Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse.
  • Partner with the Lead Data Engineer on system design of our application databases and services, mapping the interactions critical to the warehouse.
  • Raise engineering standards across data and analytics engineering and own incident response for Tier-1 pipelines.
  • Lead, coach and grow data and analytics engineers plus a contractor pod - planning headcount, hiring and managing performance.
  • Represent Data Engineering to senior stakeholders and Global Data Engineering, translating technical trade-offs into business terms and helping the team succeed.

What will you bring to the team?

  • Hands-on command of streaming and batch platforms - Kafka/Confluent, lakehouse formats, Airflow - across a multi-cloud AWS and GCP estate.
  • Architecture and modelling mastery: led a Gold/semantic layer from scratch in a marketplace or federated org, with expert BigQuery, dbt and dimensional/medallion modelling, defending trade-offs.
  • Stood up an Analytics Engineering practice, coaching analysts into engineers on dbt modelling - incremental-vs-full-refresh trade-offs, quality gates and Slim CI for run-time/cost.
  • Sets engineering standards where they're missing - code review, CI/CD, testing, data contracts and governance.
  • A people leader who builds and develops teams, and a credible partner who explains trade-offs to stakeholders and pushes back constructively.
  • Thrives in ambiguity, a builder not a maintainer, honest and direct.
  • Nice to have: ML exposure (Vertex AI, SageMaker).

At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.


Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.


Are you ready to take your seat? Apply now!

Compensation range: $120,000 - $160,000
Final compensation may vary based on skills, experience, and internal equity.

Employment Type: FULL_TIME