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Remote Data Engineer Jobs in Ontario (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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.

Snowflake Lead Data Engineer

Mississauga, ON • Remote

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Re-posted 5 days ago


Key responsibilities

  • Design, develop, and maintain large-scale data warehouses and pipelines on Snowflake.

  • Lead the design and development of scalable and robust data ingestion, transformation pipelines, and analytics using tools like dbt, Python/Snowpark, and Snowflake-native features.

  • Collaborate with the Agile Data Transformation Program, data architects, and stakeholders to implement data strategies, ensure data quality, and optimize Snowflake workloads.


Job description

Job Description

What is the opportunity?

This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology specialists dedicated to deliver solution to Insurance business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects.

We are seeking a hands-on technical leader responsible for the design and technical implementation of our Cloud Data Lakehouse platform using Snowflake, leveraging the RBC Lumina Snowflake offering. The successful candidate will be responsible for leading a team of data engineers, working closely with business stakeholders, and collaborating with architects to make technical decisions that drive business growth. You will design, develop, and maintain large-scale data Lakehouse and data pipelines on Snowflake, ensuring data quality, security, and scalability. This role will focus on the application-level design and implementation, ensuring seamless integration with existing systems, and providing technical leadership to the development team.

Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build cloud data lakehouse, stable web, and back-end applications which are resilient, scalable and high performance that avoids failure and focused on delivering best client experience. We continuously update our tech skills and upgrade our platforms to match industry standards.

What will you do?

  • Technical Leadership: collaborate with the Agile Data Transformation Program to design, develop and implement data strategies that align with business objectives.
  • Business Stakeholder Management: build strong relationships, communicate technical concepts and solutions to business stakeholders, providing solutions that meet their requirements.
  • Data Engineering: design, develop, and maintain large-scale data warehouses and pipelines on Snowflake, ensuring efficient use of resources and cost-effectiveness.
  • Lead the design and development of scalable and robust data ingestion, transformation pipelines and consumption/analytics using tools like dbt, Python/Snowpark and Snowflake-native features (Cortex AI, Snowpipe, Tasks, Streams).
  • Proactively monitor and tune the performance of Snowflake workloads, including query optimization, Virtual Warehouse sizing, clustering, and micro-partitioning strategies to manage cost and efficiency.
  • Working with the Data Architect to implement data quality frameworks, ensuring data integrity and consistency throughout the entire data lifecycle.
  • Understand modern data management framework, contributes to a comprehensive Medallion data model architecture, including bronze, silver, and gold layers, to ensure data quality and consistency.
  • Manage and automate the deployment of Snowflake objects.
  • Lead in SRE setup to support end-to-end application in production. Ready to provide after hour support as required.
  • Partner with the solution architect to translate high-level designs into concrete implementation plans and collaborate with data analysts and data scientists to understand the needs.
  • Identify potential new and innovative technologies which could benefit RBC Insurance and build, test and assess feasibility for current or future use;
  • Ability to determine alternative methods and processes to best support RBC Insurance Application and Data needs;

What do you need to succeed?

Must Have

  • Strong understanding of business operations and data-driven decision-making
  • 5+ years of experience in data engineering, with a focus on Snowflake Cloud Data Lakehouse Platform. Deep, hands-on experience with all aspects of Snowflake platform, including architecture, SQL, SnowSQL, Tasks, Streams, Stages, and performance tuning features
  • Strong proficiency in Python, with experience in libraries like Pandas and a solid understanding of object-oriented programming. Experience with Snowpark is a major plus
  • Strong understanding of cloud concepts on cloud-based data platforms (Snowflake, AWS, Azure, or GCP), especially regarding storages and security.
  • Proven experience in leading and managing high-performing team
  • Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders
  • Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions
  • Experience on multiple projects with multiple interfaces and/or third parties. Successfully and simultaneously managed multiple projects with emphasis on High Impact, High Business Risk, Uncertain Business Requirements and New Technology

Nice to Have

  • Certifications: Snowflake certifications (e.g. Snowflake Certified Data Engineer)
  • Knowledge of data engineering tools, familiar with cloud-based data platforms (e.g. AWS, Azure, GCP)
  • Experience with machine learning, artificial intelligence, or other emerging technologies
  • Adaptability, Critical thinking and growing mindset
  • Management and collaboration skills, Verbal and written communication skills
  • Team contributor and care about team members
  • Stay relevant to the current industry trend.

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
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Opportunities to building close relationships with clients
  • Access to a variety of job opportunities across business and geographies.

#LI-Post

#LI-PK

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

City:

Mississauga

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-06

Application Deadline:

2026-09-10

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.

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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