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

Odaia Intelligence Inc.

Data Engineer

Toronto, ON · Remote

ODAIA is a remote first organization, all our positions are WFH with frequent company and team ... Strong experience with AWS (ECS, S3, Lambda, DynamoDB, API Gateway, etc.) and Snowflake

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 ...

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 ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site +1

AWS: S3, Glue, Lambda, Redshift, Cloudwatch. * Snowflake: Data warehousing, virtual warehouses ... Programming Languages, PySpark, Python (Programming Language), Snowflake (Platform), Software ...

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 ...

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 ...

Mercor

Data Engineer - AI Model Evaluation

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 ...

Posted today

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 ...

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Remote Aws Data Engineer information

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$10

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

As of Aug 10, 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 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.

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 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.
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 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,796 per year, or $62.4 per hour.

Senior Data Engineer (Databricks/AWS)

Fusemachines

Toronto, ON • Remote

Contractor

Posted 18 days ago

Job description

About Fusemachines

Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
Type: Full-time, Remote
 

About the role

This is a full-time, high-impact position for a Senior Data Engineer with expertise in Databricks, dbt, and Apache Airflow to support a critical CRM data architecture migration for a key client in the Life Sciences industry.

In this role, you will join an urgent initiative to backfill key engineering capabilities and maintain momentum during an ongoing CRM system transition. The project involves migrating enterprise customer data from Veeva CRM to Salesforce Life Sciences Cloud, integrated with an underlying AWS S3 cloud environment and Databricks data warehouse. Your main focus will be building out, configuring, and redirecting data ingestion pipelines out of Life Sciences Cloud into the data warehouse, while implementing dbt models and Airflow orchestrations to ensure complete data accuracy.

Candidates must be able to operate strictly on US East Coast business hours (location is flexible across North America, LATAM, or remote with full Eastern Time overlap).

Qualification / Skill Set Requirement:

  • Core Technical Expertise:

    • 5+ years of hands-on data engineering experience with deep expertise in AWS, Databricks, dbt, and Apache Airflow.

    • Strong programming proficiency in Python / PySpark and Advanced SQL (complex joins, analytical window functions).

    • Hands-on expertise in Databricks platform architecture, Lakehouse implementation, Delta Lake, Unity Catalog, and cluster performance tuning.

  • Architecture & Migration:

    • Proven track record of architecting and executing migrations.

    • Demonstrated experience scaling platform performance.

  • Pipeline Orchestration & Modeling:

    • Proven experience building scalable transformations pipelines using dbt for data transformation, testing, and documentation.

    • Solid background orchestrating complex workflow DAGs with Apache Airflow.

    • Experience working with AWS cloud infrastructure, specifically AWS S3 as an underlying data lake storage layer.

  • CRM Integration & Domain Knowledge:

    • Hands-on experience developing integrations and data ingestion pipelines for CRM platforms, specifically Salesforce, Salesforce Life Sciences Cloud, and/or Veeva CRM.

    • Understanding of data structures, customer master data, and analytics workflows within the Life Sciences.

  • DevOps & Governance:

    • Deep understanding of SDLC/Agile and DevOps for CI/CD and artifact management.

    • Knowledge of AWS and Databricks security best practices and compliance standards.

  • Certifications Preferred: Databricks Certified Data Engineer Associate/Professional, Databricks Spark Developer, and major cloud certifications in AWS.

  • Logistics & Shift Overlap:

    • Ability to maintain 100% full working time overlap with US East Coast business hours (ET). Flexible location (US, Canada, LATAM, or remote ET).

Responsibilities

  • Pipeline Development & Integration: Architect, build, and deploy data integration pipelines connecting Salesforce Life Sciences Cloud to the client’s Databricks warehouse environment.

  • CRM Migration Support: Execute pipeline modifications to transition legacy data feeds from Veeva CRM to Salesforce Life Sciences Cloud, updating warehouse models accordingly.

  • Transformation & Workflow Orchestration: Write clean, modular dbt transformation models and organize end-to-end DAG execution using Apache Airflow.

  • Data Warehouse & Storage Optimization: Manage Delta tables and optimize Databricks clusters and AWS S3 storage for high performance and cost efficiency.

  • Data Validation & Quality Assurance: Implement data quality testing, schemas, and verification rules in dbt and Python to guarantee accurate data delivery.

  • Monitoring & Alerting: Build and enforce proactive monitoring frameworks.

  • Agile Collaboration: Work closely with project leads, solution architects, and technical stakeholders during US East Coast hours to ensure rapid iteration and goal completion.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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