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

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 ...

Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments ...

Data Engineer

Toronto, ON ยท Remote

CA$140K - CA$190K/yr

... Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs) to translate complex business ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

25-026 DevOps Engineer

Toronto, ON ยท 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 ...

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 ...

Remote : Hybrid* We are seeking an experienced Analytics Engineer to help transform data into meaningful insights and scalable solutions that drive business decisions. This role is focused on ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

25-053 Data Architect

Pickering, ON ยท On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... engineers, data analysts and solution architects to develop data pipelines to feed our data ...

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 ...

25-125 FinOps Engineer

Pickering, ON ยท Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

26-086 - Technical Specialist

Oshawa, ON ยท Remote

$90 - $100/hr

CHQ - 1908 Colonel Sam Dr.(Hybrid - 3 days remote) We are seeking an experienced Azure & Databricks DevOps Engineer to design, automate, secure, and support cloud-based data platforms and DevOps ...

Showing results 21-40

Remote Data Engineering information

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.

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 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 Toronto, ON?

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

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

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

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

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

Infographic showing various Remote Data Engineering job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Snowflake Lead Data Engineer

Mississauga, ON โ€ข Remote

Royal Bank of Canada
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Re-posted 6 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.

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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