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Remote Data Engineer Jobs in Ontario (NOW HIRING)

We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using ... Fully remote setup * Up to 20% tax allowance * 22 paid leave days annually * Stock options (ESOP ...

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You'll Do: * Majority of the role will be data engineering: tables, views, jobs/pipelines, and ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/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 $190,000 USD ...

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

The Data Engineer will have strong Python, Pandas, and NumPy expertise to support data validation, reconciliation, and processing of large datasets. This role focuses on comparing multiple datasets ...

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/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 $260,000 USD ...

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

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 ...

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 ...

Data Engineer I

Toronto, ON · Remote

CA$69K - CA$98K/yr

Azure Data Engineer About TDI Data: TDI Data builds and supports enterprise data products and platforms that enable trusted, scalable, and governed data consumption across the organization ...

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 ...

Lead, Data Engineer

Mississauga, ON · Remote

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 ...

Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data * Document data models, lineage ...

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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 Sep 12, 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 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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $127,317 per year, or $61.2 per hour.

Data Engineer

On-site, Remote

Tabby LLC
Computer and Electronic Product Manufacturing • 1 - 10 employees

Full-time

PTO

Posted 9 days ago


Job description

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 17 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.
We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.
  • DWH development for Business Users, Analysts and ML Engineers;
  • Data synchronization between internal and external systems;
  • Development tools for collecting data into DWH;
  • Development EL / ELT / ETL pipelines;
  • Integration new tools and practices for data governance and data quality;
  • Costs optimization. 
  • 3+ years of experience as a Data Engineer; 
  • DWH development and maintenance experience;
  • Architecture: Kimball, Inmon, Medallion, Data Mesh;
  • Data modeling: SCD forms, Normal forms, Star Schema, Data Vault;
  • Python + best practice for Python;
  • SQL + best practice for SQL;
  • System design best practices;
  • Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab(CI/CD), GCP;
  • Best practice for data processing and data storing.
Bonus skills
  • REST API / GRPC API / Message brokers & Queues;
  • Experience on modern systems of data storing: Relational, MPP, NoSQL;
  • Experience on Google Cloud Platform.
  • Full-time B2B contract
  • Fully remote setup
  • Up to 20% tax allowance
  • 22 paid leave days annually
  • Stock options (ESOP) in a fast-scaling, pre-IPO company
  • Flexi benefits you can use for wellness, travel, or learning
  • Work alongside a high-performing, international engineering team in a global fintech unicorn
Relocation support is available to our hubs in Armenia, Georgia, Serbia, Poland and Spain, including flights, temporary accommodation, legal setup (if needed)

Tabby logo

About Tabby

Sourced by ZipRecruiter

Industry

Computer and electronic product manufacturing

Company size

1 - 10 Employees

Headquarters location

Miami, FL, US

Year founded

2018