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Remote Non Profit Data Engineer Jobs in Quebec (NOW HIRING)

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

It is a 100% Remote position in Canada. \n \n \n * Candidates Preferred from EST\/CST Time Zone. \n ... Architect and implement Fabric solutions for data engineering (Spark), Data Factory pipelines , and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

... data engineering, cloud infrastructure, or FinOps space carry the most weight.** * Location Our Senior Technical Content Writer - Data Platforms will join our global Marketing team. This remote role ...

Showing results 41-60

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 Quebec?

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

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

The top searched job categories for Remote Non Profit Data Engineer jobs in Quebec are:

What cities in Quebec are hiring for Remote Non Profit Data Engineer jobs?

Cities in Quebec with the most Remote Non Profit Data Engineer job openings:

Infographic showing various Remote Non Profit Data Engineer job openings in Quebec as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Frontend Developer - Remote

Montreal, QC • Remote

$80 - $120/hr

Full-time

Posted 19 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.