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Remote Data Engineering Jobs in Ontario (NOW HIRING)

Senior Manager, Data Engineering

Toronto, ON ยท On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility. Reporting Relationship : You will report to the Director, Data Engineering Posting Type

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 ...

A leading cybersecurity company in Canada is seeking a Data Engineer to develop and manage a data ... The company promotes a remote-first work culture with competitive compensation and comprehensive ...

A leading cybersecurity company in Canada is seeking a Data Engineer to develop and manage a data ... The company promotes a remote-first work culture with competitive compensation and comprehensive ...

New

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

Reporting to the Sr Director, Data Platform Delivery and Engineering, the Data Engineer is ... This can be a remote role, however for those who would like to come into the office our offices are ...

Engineering Manager, Data and ML - (Remote - Canada) Be among the first 25 applicants About Jobgether Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently ...

New

A data technology firm is seeking a Data Scientist (Azure, Python, and SQL) based in Toronto. The ... This is a fully remote position offered on a 1-year contract basis with potential for extension. #J ...

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$260K/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 $260,000 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 Aug 4, 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.

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?

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.

Can you work remotely as a data engineer?

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

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:
Infographic showing various Remote Data Engineering job openings in Ontario as of July 2026, with employment types broken down into 72% Full Time, 8% Part Time, 5% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $137,192 per year, or $66 per hour.

Senior Manager, Data Engineering

Moneris

Toronto, ON โ€ข On-site, Remote

CA$142K - CA$177K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


Job description

Your Moneris Career - The Opportunity

As the Senior Manager, Data Engineering, you will lead the data engineering function responsible for delivering reliable, scalable, and secure data platforms that power Moneris' business operations, analytics, and data-driven decision-making.

This role offers the opportunity to shape the future of Moneris' enterprise data ecosystem through platform modernization, cloud transformation, and engineering excellence. You will lead the migration to modern data platforms, including Snowflake, while advancing DataOps and MLOps capabilities that support analytics, machine learning, and business intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes.

Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Reporting Relationship: You will report to the Director, Data Engineering

Posting Type: Replacement Position

Salary Range: The expected base salary range for this role is $142,000 - $177,000

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you'll do

  • Lead and develop a high-performing Data Engineering team through coaching, mentorship, and performance management.

  • Define and execute the roadmap for enterprise data platforms, pipelines, and services.

  • Lead Snowflake migration initiatives and modernization of legacy enterprise data warehouse (EDW) environments.

  • Oversee the design, development, and operation of secure, scalable batch and real-time data solutions.

  • Establish engineering standards, development practices, and operational processes to improve platform reliability and performance.

  • Partner with Architecture, Governance, Security, and Product teams to implement enterprise data capabilities.

  • Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning data workflows.

  • Build and enhance CI/CD pipelines, automated testing frameworks, and data quality controls.

  • Drive adoption of Infrastructure as Code (IaC), deployment automation, and engineering best practices.

  • Monitor platform health through observability, service metrics, incident management, and continuous improvement.

  • Optimize data platform performance, scalability, operational efficiency, and cloud spend.

  • Lead prioritization and delivery of strategic data engineering initiatives while managing risks and stakeholder expectations.

Your Moneris Career - What you bring

Required Qualifications

  • University degree in Computer Science, Engineering, or a related discipline; equivalent experience will be considered.

  • 10+ years of progressive experience in Data Engineering and enterprise data platform delivery.

  • Experience leading engineering teams and delivering large-scale data solutions in complex enterprise environments.

  • Hands-on experience with modern data platforms such as Snowflake and Databricks.

  • Experience designing and supporting data lakes, data warehouses, streaming platforms, and modern analytics ecosystems.

  • Strong knowledge of cloud platforms including AWS, Azure, or GCP.

  • Experience with SQL, NoSQL, and distributed data processing frameworks.

  • Proficiency in Python, Scala, Java, or similar programming languages.

  • Experience establishing engineering standards, CI/CD practices, automation frameworks, and operational processes.

  • Strong understanding of DataOps, MLOps, data quality, security, and governance principles.

  • Strong stakeholder management and communication skills with the ability to influence cross-functional teams and executive stakeholders.

  • Proven ability to balance strategic planning with execution and operational excellence.

Preferred Qualifications

  • Experience leading enterprise Snowflake migration and modernization programs.

  • Experience supporting machine learning platforms and feature engineering pipelines.

  • Experience implementing Infrastructure as Code (IaC) frameworks.

Your Moneris Career - What you get

At Moneris, we believe in empowering you to succeed-personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.

  • Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).

  • Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.

  • Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.

  • Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.

  • Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs.

  • Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.

Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers.

#LI-Hybrid

#TECH-IND

Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.