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

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ...

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

MP4, $80/hr - $95/hr INC Duration: 11 Months Hours of work: 35 hours Location: 1908 Colonel Sam Drive, Oshawa (Hybrid - 3 days remote) Job Overview As an Azure and Databricks Data Engineer, you will ...

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 ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$300K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $300,000 USD ...

Sanofi EU

Data Platform Engineer Analyst

Mississauga, ON · On-site +1

CA$94K - CA$136K/yr

The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. Position Summary: We are seeking an experienced data engineer to work with lead data engineers and ...

Sanofi EU

Data Platform Engineer Analyst

Toronto, ON · On-site +1

CA$94K - CA$136K/yr

The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. Position Summary: We are seeking an experienced data engineer to work with lead data engineers and ...

Sanofi EU

Data Platform Engineer Analyst

Unionville, ON · On-site +1

CA$94K - CA$136K/yr

The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. Position Summary: We are seeking an experienced data engineer to work with lead data engineers and ...

Sanofi EU

Data Platform Engineer Analyst

Maple, ON · On-site +1

CA$94K - CA$136K/yr

The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. Position Summary: We are seeking an experienced data engineer to work with lead data engineers and ...

Sanofi EU

Data Platform Engineer Analyst

Brampton, ON · On-site +1

CA$94K - CA$136K/yr

The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. Position Summary: We are seeking an experienced data engineer to work with lead data engineers and ...

Fusemachines

Senior Data Engineer

Toronto, ON · Remote

Remote Full-time Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering (Hybrid - 4 days remote) Job Overview As a Senior Data Developer, you will be responsible for building ...

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Manulife

Senior Data Engineer

Toronto, ON · On-site +1

The Data Engineering Lead is a hands-on technical expert who builds scalable data platforms, data ... Remote working option is not available. Position Responsibilities: 1) Build scalable data platforms ...

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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.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

CA$125K - CA$140K/yr

Full-time

Posted 23 days ago

Job description

🚀 Senior Data Engineer- Machine Learning & Data Platforms | Remote

Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.

You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.

🔧 What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets

  • Develop and optimize Spark-based data workflows supporting production ML systems

  • Collaborate closely with data scientists, ML engineers, and business stakeholders

  • Translate complex business needs into scalable, production-grade data solutions

  • Build feature engineering pipelines for time-series and predictive models

  • Ensure data quality, governance, security, and reliability across systems

  • Continuously improve data architecture, performance, and scalability

🧠 What You Bring

  • Min. 6+ years in data engineering or ML data pipeline development

  • Strong experience with Apache Spark, PySpark, Databricks, Delta Lake

  • Advanced skills in Python, SQL, and Airflow

  • Deep understanding of Medallion architecture and ETL design patterns

  • Experience building time-series features (rolling windows, lags, trend indicators)

  • Ability to work closely with ML teams and translate data into model-ready structures

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field

⭐ Preferred Experience - we will highly consider candidates with below skills;

  • Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets

  • Experience working directly with machine learning teams or supporting ML model development

  • Hands-on experience in forecasting, demand planning, or similar data-heavy business domains

  • Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)

  • Exposure to feature stores or ML training/serving consistency frameworks

  • Experience with IBM DataStage or legacy ETL modernization projects

  • Experience scaling distributed ML or time-series models in production environments

🌍 Why This Role

This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

APPLY: sasha@talenttohire.com