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

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 ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

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 ...

Smile.io

Senior Front-End Engineer

Toronto, ON · Remote

Data Layer * PostgreSQL * ElasticSearch * Kafka * Amazon Simple Queue Service * Snowflake ... Smile is a remote-first company built on trust, ownership, and continuous improvement. We believe ...

Morson Talent

25-053 Data Architect

Pickering, ON · 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 ...

TELUS

Engineering Manager - Data Ingestion

Toronto, ON · Remote

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy ... Comfort with distributed teams and experience managing offshore or remote team members * Ability to ...

Morson Talent

25-125 FinOps Engineer

Pickering, ON · 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 ...

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Showing results 21-40

All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Toronto, ON

Remote Amazon Data Engineer information

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

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

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

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

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

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

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

Remote Amazon Data Engineer jobs near you
Infographic showing various Remote Amazon Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Integration Engineer

GFR Technologies SE

Toronto, ON • Remote

Full-time

Posted 7 days ago

Job description

Data Integration Engineer (Azure & Databricks)

Location: Canada (Hybrid/Remote)
Experience: 5-8 Years

Position Overview

We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development, enhancement, and support of enterprise data integration solutions within an Azure and Databricks ecosystem.

The ideal candidate is an execution-oriented professional who enjoys building and supporting data pipelines, integrating data from multiple source systems, and implementing scalable modern data platform solutions. While the role requires participation in solution discussions, the primary focus is on delivery, implementation, and operational support, rather than enterprise architecture or strategic consulting.

Key Responsibilities

Data Integration & Engineering

  • Design, develop, and maintain scalable data integration pipelines using Azure and Databricks.
  • Build and support batch and near real-time data ingestion processes from multiple internal and external source systems.
  • Develop data transformation logic to support analytics, reporting, and business consumption requirements.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize pipeline performance and troubleshoot production issues.

Databricks Development

  • Develop and maintain Databricks notebooks, workflows, and processing pipelines.
  • Build transformation frameworks using Spark and Databricks best practices.
  • Support data ingestion, cleansing, enrichment, and aggregation activities.
  • Work with large and complex datasets across multiple domains.

Azure Data Platform Delivery

  • Develop solutions using Azure data services including:
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Azure Databricks
    • Azure SQL
    • Azure Synapse (preferred)
  • Support deployment, monitoring, and operational activities across the data platform.

Data Architecture Implementation

  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Ensure data lineage, governance, and consistency across the platform.
  • Contribute to data modeling and solution design discussions.
  • Translate architectural direction into technical implementation and delivery.

Team Collaboration

  • Collaborate closely with Data Engineers, Solution Architects, Product Owners, and Business Stakeholders.
  • Support ongoing initiatives and enhancements within an established delivery team.
  • Participate in Agile ceremonies, sprint planning, estimation, and backlog refinement.
  • Assist in production support, troubleshooting, and continuous improvement initiatives.

Required Qualifications

  • 5-8 years of experience in Data Engineering, Data Integration, or Data Platform Development.
  • Strong hands-on experience with Azure Databricks.
  • Proven experience building and supporting enterprise-scale data pipelines.
  • Strong understanding of data ingestion, transformation, and integration patterns.
  • Experience integrating data from multiple source systems and platforms.
  • Solid understanding of modern data lake and lakehouse architectures.
  • Experience implementing Medallion Architecture concepts.
  • Strong SQL development and data analysis skills.
  • Experience working within Agile delivery teams.

Technical Skills

Required

  • Azure Databricks
  • Apache Spark / PySpark
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • SQL
  • Python
  • Data Integration & ETL/ELT Development
  • Data Quality & Reconciliation

Preferred

  • Azure Synapse Analytics
  • Delta Lake
  • CI/CD for Data Pipelines
  • Azure DevOps
  • Git
  • Kafka or Event-Driven Architectures
  • Power BI

Preferred Experience

  • Experience supporting cloud-based analytics and reporting platforms.
  • Experience working with complex enterprise data ecosystems.
  • Exposure to financial services, insurance, banking, or regulated industries.
  • Experience supporting production environments and ongoing operational initiatives.
  • Familiarity with data governance and data management best practices.

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