ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Toronto, ON (NOW HIRING)

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site +1

We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to ensure ...

Flinks

Senior Data Engineer

Toronto, ON · Remote

  • Medical

  • Dental

  • PTO

The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ... Remote work environment with frequent in-person gatherings and activities. * Career development ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

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 ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

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 ...

Takeaway

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 ...

Tucows

Data Platform Engineer

Toronto, ON · Remote

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 ...

Tucows Inc.

Data Platform Engineer

Toronto, ON · Remote

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 ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

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 ...

hive.co

Senior Software Engineer, Data Systems

Toronto, ON · Remote

  • Medical

  • Dental

  • PTO

As a Senior Data Engineer, you'll play a vital role in evolving our data platform, which directly ... Work fully remote from the comfort of your home. * Flexible work hours: minimal meetings and no 9 ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

  • Medical

  • Retirement

  • PTO

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

Morson Talent

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

MP4 Hourly Rate: $80 - 100/hour Duration: 10 Months Hours of work: 35 Location: 700 University Avenue, Toronto (100% Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data ...

Zenni Optical

Manager, Data Analytics - Canada

Toronto, ON · Remote

CA$300/day

  • Medical

  • Dental

  • Vision

  • Life

This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering. Responsibilities: * Champion data literacy: Provide ongoing training and support to the Engagement ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Toronto, ON

Remote Data Engineer information

See Toronto, ON salary details

$65.4K

$121.5K

$154.6K

How much do remote data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data engineer in Toronto, ON is $121,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,886.00 and $138,379.00 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.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Toronto, ON?

The most popular types of Data Engineer jobs in Toronto, ON are:

What are popular job titles related to Remote Data Engineer jobs in Toronto, ON?

For Remote Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Remote Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Remote Data Engineer jobs?

Cities near Toronto, ON with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,504 per year, or $58.4 per hour.

Lead Data Engineer

Royal Bank of Canada

Toronto, ON • On-site, Remote

Full-time

Re-posted 17 hours ago

Job description

Job Description

WHAT IS THE OPPORTUNITY?

We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to ensure accurate and efficient build out of data pipeline architecture within project timeframes.

WHAT WILL YOU DO?

  • Design, implement and maintain data ingestion and transformation pipelines.

  • Build transformation models and data pipelines using dbt.

  • Develop optimized SQL transformations for large datasets.

  • Implement data quality checks and validation logic within ETL pipelines.

  • Monitor data pipelines and troubleshoot production issues.

  • Collaborate with data analysts and architects to design scalable data models.

  • Document data lineage, transformations, and technical architecture.

  • Participate in Agile development processes and code reviews.

WHAT DO YOU NEED TO SUCCEED?

Must have:

  • 3+ years of hands-on data engineering experience.

  • Strong technical proficiency in:

    • Python: Production-quality code for data pipelines, automation, and scripting, including PySpark.

    • SQL: Advanced query writing, optimization, indexing, stored procedures.

    • ETL: Utilizing DataFrames for building programmatic ETL data pipelines.

    • AWS: S3, Glue, Lambda, Redshift, Cloudwatch.

    • Snowflake: Data warehousing, virtual warehouses, clustering, security.

    • dbt: Model development, testing, documentation, incremental builds.

  • Familiarity with data orchestration tools (Airflow).

  • Demonstrated ability to work independently, take ownership, and drive projects to completion.

  • Excellent problem-solving skills and attention to detail.

Nice-to-have:

  • Knowledge of data streaming platforms or queues (Apache Kafka, AWS Kinesis, RabbitMQ)

  • Experience in building Kotlin, Spring boot and Java applications.

  • Familiarity with Parquet formatting to maximize I/O performance and storage efficiency across data lakes.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Flexible work/life balance options

  • Opportunities to do challenging work

Job Skills

Active Learning, Agile Methodology, Apache Airflow, Application Integrations, Data Ingestion, Data Modeling, Data Pipelines, Data Stream, dbt Core, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, ETL Pipelines, Group Problem Solving, Programming Languages, PySpark, Python (Programming Language), Snowflake (Platform), Software Development Life Cycle (SDLC), Structured Query Language (SQL)

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-21

Application Deadline:

2026-08-18

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

Apply