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Remote Non Profit Data Engineer Jobs in Toronto, ON

Odaia Intelligence Inc.

Data Engineer

Toronto, ON · Remote

Data Engineer ABOUT ODAIA ODAIA noun o · da · ia | 'oh-day-yeah An Ancient Greek word referring ... ODAIA is a remote first organization, all our positions are WFH with frequent company and team ...

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 ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/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 $190,000 USD ...

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 ...

Mercor

Data Engineer - AI Model Evaluator

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 ...

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$260K/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 $260,000 USD ...

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 ...

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

We are seeking a Senior Data Engineer to help design and build the next generation of our Data ... Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ...

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All JobsNon Profit Data Engineer JobsRemote Non Profit Data Engineer JobsRemote Non Profit Data Engineer Jobs in Toronto, ON

Remote Non Profit Data Engineer information

What does a remote non profit data engineer do?

A Remote Non Profit Data Engineer is responsible for designing, building, and maintaining data systems that support the operations and mission of nonprofit organizations, all while working from a remote location. Their tasks may include developing data pipelines, ensuring data quality, and integrating data from various sources to enable better decision-making. They often collaborate with program staff, data analysts, and IT teams to ensure the organization's data infrastructure meets compliance and reporting needs. By leveraging their technical skills, they help nonprofits use data more effectively to maximize their impact and secure funding.

How does a remote non profit data engineer typically collaborate with program teams to support organizational goals?

As a Remote Non Profit Data Engineer, you’ll regularly work alongside program managers, outreach coordinators, and development teams to understand their data needs and translate them into actionable solutions. This often involves joining virtual meetings to discuss data collection strategies, building and maintaining ETL pipelines, and ensuring data quality for accurate reporting. Collaboration tools such as Slack, Zoom, and project management software are commonly used to stay connected across departments. Your work directly supports impact measurement and grant reporting, making cross-functional communication and adaptability essential in this role.

What key skills and qualifications are needed to thrive as a remote non profit data engineer, and why are they important?

A Remote Non Profit Data Engineer should possess strong data management, SQL/database proficiency, and experience with ETL processes, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), data visualization tools (such as Tableau or Power BI), and certifications in data engineering are typically valuable. Excellent communication, problem-solving, and a collaborative mindset are crucial soft skills, especially for remote work and understanding nonprofit missions. These abilities ensure data is leveraged effectively to drive impactful decisions and support the organization’s goals while maintaining transparency and data integrity.

What is the difference between Remote Non Profit Data Engineer vs Remote Non Profit Data Analyst?

AspectRemote Non Profit Data EngineerRemote Non Profit Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentDesigning and maintaining data infrastructure for nonprofitsInterpreting data to generate reports and insights for nonprofits
Employer & Industry UsageNonprofits, NGOs, charitable organizationsNonprofits, advocacy groups, social service agencies

While both roles support nonprofit missions, Remote Non Profit Data Engineers focus on building and maintaining data systems, whereas Data Analysts interpret data to inform decision-making. Their skills and daily tasks differ but are complementary in nonprofit data operations.

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

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

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

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

Remote Non Profit Data Engineer jobs near you
Infographic showing various Remote Non Profit Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

Full-time

Re-posted 10 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