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

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift. * AI/ML Tools:

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Deploy, operate, and improve data pipelines and data stores on major cloud platforms such as AWS ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · Remote

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools. * Ensure ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · Remote

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and ... Strong working knowledge of at least one major cloud provider (AWS, Azure) regarding data storage ...

New

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure * Advanced ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · On-site +1

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 ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · Remote

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 ...

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

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 ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

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 ...

JLL

Senior Data Engineer

Toronto, ON · Remote

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 ...

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Remote Aws Data Engineer information

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How much do remote aws data engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote aws data engineer in Toronto, ON is $62.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.76 and $73.64 per hour, depending on experience, location, and employer.

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What are the key skills and qualifications needed to thrive as a remote AWS data engineer?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

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

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

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

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

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

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

Remote Aws Data Engineer jobs near you
Infographic showing various Remote Aws Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,796 per year, or $62.4 per hour.

Data Engineer

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 14 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

Requirements

  • Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.
  • AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
  • AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
  • DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
  • Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.