Data Engineer - Remote - Canada
FullStack Labs
Date: 1 day ago
City: Montreal, Quebec
Contract type: Full time
Remote

About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
We’re Most Proud Of
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Engineer.
Learn more about our Applicants Privacy Notice.
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
We’re Most Proud Of
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Engineer.
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
- 5+ years of professional experience in Data Engineering.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Proven track record of designing, developing, and maintaining robust data pipelines using tools like Databricks.
- Extensive experience working in cloud-based data environments such as AWS, GCP, or Azure.
- Strong command of SQL and Python for data processing, transformation, and performance tuning.
- Demonstrated experience building scalable data lakes, warehouses, and analytics platforms for BI and ML use cases.
- Ability to write clean, efficient, and maintainable code.
- Practical knowledge of CI/CD practices for data workflows, including testing, version control, and automated deployments.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- Experience working on Agile / Scrum teams.
- Meaningful experience working on large, complex systems.
- Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities
- Opportunity to grow and expand your career
Learn more about our Applicants Privacy Notice.
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