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Remote Data Engineer Jobs in Ontario (NOW HIRING)

Inizio Partners

Data Engineer

Toronto, ON · Remote

Remote Job Summary: We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing up our new GCP ...

Hays

Remote Your New Company Join a mission-driven organization making a meaningful impact through data and technology. This is an exciting opportunity to help shape modern data capabilities in a cloud ...

RailPros

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job Summary: The Data Engineer supports the design, build, and maintenance of the data infrastructure that ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$300K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $300,000 USD ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

McKesson

Lead Data Engineer

Mississauga, ON · Remote

Job Title Lead Data Engineer - Operations (KTLO), Decision Intelligence Summary The PSaS Decision Intelligence (DI) Data Architecture & Engineering team is seeking a technically strong and ...

McKesson

Lead Data Engineer

Mississauga, ON · On-site +1

The Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification ...

McKesson

Lead Data Engineer

Mississauga, ON · Remote

Job Title Lead Data Engineer - Operations (KTLO), Decision Intelligence Summary The PSaS Decision Intelligence (DI) Data Architecture & Engineering team is seeking a technically strong and ...

McKesson

Lead Data Engineer

Mississauga, ON · On-site +1

The Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering (Hybrid - 4 days remote) Job Overview As a Senior Data Developer, you will be responsible for building ...

Xplore Inc.

Senior GIS Data Engineer

Cornwall, ON · Remote

This is a remote role and open to candidates based anywhere within Canada. You'll own the end-to-end GIS data engineering function in Data & AI team, from spatial data ingestion through publishing to ...

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Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Ontario

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 Jun 16, 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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 engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
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:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Ontario as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,317 per year, or $61.2 per hour.

Data Engineer

Inizio Partners

Toronto, ON • Remote

Full-time

Posted 23 days ago

Job description

Job Title: Consultant Data Engineer

Location: Remote

Job Summary:

We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing up our new GCP platform, working with data engineer.

Duties/Responsibilities:

  • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability
  • Implement frameworks, tooling, and automation to safely increase development velocity
  • Develop data pipelines, optimize pipelines, SQL or other data workflows from (1) source ingestion and preparation, (2) training and tuning and (3) downstream systems integration (EHR modules, micro-services, dashboards)

Required Skills:

  • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling
  • Knowledge of dbt, PySpark, Glue , Terraform to support current infrastructure on AWS
  • Great to have experience setting up GCP infra : Iceberg, Dataplex, Terraform to help with initial steps of GCP migration project.
  • A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.

Education & Experience

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field
  • 5+ years of experience in data engineering, platform engineering, or ML engineering
  • Experience working with major cloud data platforms and tools:
  • Preferred experience:
  • Healthcare, behavioral health, EHR systems, and/or regulated industries
  • Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery