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

MCKESSON

Lead, Data Engineer

Mississauga, ON · Remote

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Experience experimenting with emerging data and AI technologies. * Background in highly regulated ...

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Propel Holdings

Sr. Data Engineer

Toronto, ON · Remote

Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than ... Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues ...

YO AI Labs

AI Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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 ...

YO AI Labs

AI/ML Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Sanofi EU

Data Scientist Manager

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: Commercial Data Science Location: Toronto, ON (Flexible working ... Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI ...

Sanofi EU

Data Scientist Manager

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: Commercial Data Science Location: Toronto, ON (Flexible working ... Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI ...

Sanofi EU

Data Scientist Manager

Maple, ON · On-site +1

CA$125K - CA$180K/yr

Data Scientist Manager Department: Commercial Data Science Location: Toronto, ON (Flexible working ... Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI ...

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All JobsAi Data Engineer JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Toronto, ON

Remote Ai Data Engineer information

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

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

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

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

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

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

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

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

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

Remote Ai Data Engineer jobs near you
Infographic showing various Remote Ai Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 66% Full Time, 23% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Engineer - Snowflake

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 25 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 500 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.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

  • 12+ years of overall industry experience specifically in data engineering with a heavy focus on the AWS Cloud stack and AI.
  • 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
  • Advanced proficiency in Python, SQL, and PySpark.
  • Creating and optimizing complex data processing and data transformation pipelines using python
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Deep experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark.
  • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
  • Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience supporting and working with cross-functional teams in a dynamic environment

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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.