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Data Engineer Internship Remote Jobs in Toronto, ON

Data Engineer

Toronto, ON ยท 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 ...

As a Data Engineer, you will help in advancing our data maturity, ensuring that our data ... This can be a remote role, however for those who would like to come into the office our offices are ...

25-199 - Data Engineer

Oshawa, ON ยท 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 ...

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

Lead Data Engineer

Toronto, ON ยท 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 ...

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 ...

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 ...

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 ...

Senior Manager - Data Engineering

Toronto, ON ยท 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 ...

WordPress Developer - Master-Level Internship Level: Master's Level Internship Status: Full-time ... Fully remote (with opportunity to work hybrid from Toronto or Chicago) Compensation: Hourly (paid ...

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Data Engineer Internship Remote information

What are the typical daily responsibilities of a remote Data Engineer Intern?

As a remote Data Engineer Intern, your daily responsibilities often include assisting with data extraction, transformation, and loading (ETL) processes, cleaning and organizing datasets, and helping to build or maintain data pipelines. You may also work on tasks such as writing scripts in SQL or Python, contributing to database schema design, and documenting your work for team collaboration. Regular communication with your supervisor and team, participating in virtual meetings, and collaborating on version control platforms like Git are also common aspects of the role. These experiences offer valuable insight into real-world data engineering workflows and prepare you for more advanced responsibilities in the field.

What is a Data Engineer Internship Remote job?

A Data Engineer Internship Remote job is a temporary, online position where interns assist with building, maintaining, and optimizing data pipelines and infrastructure. Interns work with large datasets, databases, and ETL processes to support business intelligence and analytics teams. They gain experience in cloud platforms, SQL, Python, and data warehousing while collaborating with engineers and analysts. This remote role allows flexibility while providing hands-on experience in data engineering best practices.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship Remote position, and why are they important?

To excel as a Data Engineer Intern in a remote setting, you need a solid grounding in computer science, data structures, and programming concepts, often supported by coursework or experience in related fields. Familiarity with data modeling, SQL, Python, cloud platforms (like AWS or Azure), and tools such as Apache Spark or Airflow is highly valuable, along with any project-based experience or relevant certifications. Strong communication, self-motivation, and time management skills are crucial for working efficiently and collaboratively in a remote environment. These abilities enable you to handle data workflows, solve technical problems, and contribute effectively to distributed teams in real-world projects.

What are popular job titles related to Data Engineer Internship Remote jobs in Toronto, ON? For Data Engineer Internship Remote jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship Remote jobs in Toronto, ON look for? The top searched job categories for Data Engineer Internship Remote jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Engineer Internship Remote jobs? Cities near Toronto, ON with the most Data Engineer Internship Remote job openings:
Infographic showing various Data Engineer Internship Remote job openings in Toronto, ON as of July 2026, with employment types broken down into 9% Internship, 70% Full Time, 7% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON โ€ข Remote

CA$125K - CA$140K/yr

Full-time

Posted 5 days ago


Job description

๐Ÿš€ 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.


๐Ÿ”ง What Youโ€™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


๐Ÿง  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

  • Bachelorโ€™s or Masterโ€™s in Computer Science, Engineering, or related field


โญ 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


๐ŸŒ 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