Remote Data Engineer Jobs in Canada

Introduction to the Opportunity

Join a dynamic, innovation-driven organization seeking a talented Remote Data Engineer to transform how we manage and utilize our digital assets. With a strong emphasis on data infrastructure, intelligent systems, and remote collaboration, this opportunity empowers you to build scalable data pipelines from anywhere in Canada. This role is ideal for professionals who enjoy working with big data technologies and want to play a key role in shaping a long-term data strategy. This opportunity offers an impressive yearly compensation of $129,695 and the chance to thrive in a forward-thinking environment that values learning, adaptability, and cutting-edge engineering practices.

Key Responsibilities of a Remote Data Engineer

Designing and Developing Data Pipelines

• Architect, develop, and maintain robust ETL/ELT workflows to support data integration from diverse sources.
• Optimize data ingestion and transformation processes to support downstream analytics, machine learning models, and real-time reporting.

Maintaining Scalable Data Infrastructure

• Ensure the integrity, scalability, and reliability of cloud-based data infrastructure.
• Leverage cloud engineering tools to automate deployment and monitoring.

Enabling Collaboration Across Remote Teams

• Work alongside data scientists, business analysts, and product managers to translate requirements into efficient data solutions.
• Facilitate remote collaboration workflows to maintain clear and frequent communication.

Ensuring Governance and Data Security

• Implement and enforce data quality, privacy, and compliance standards across all datasets.
• Perform audits and continuous improvement of data engineering processes to ensure consistency and trustworthiness.

Work Environment and Remote Culture

We foster a results-oriented, remote-first culture that encourages autonomy, transparency, and continuous improvement. You’ll join a distributed data engineering team that shares knowledge through peer reviews, tech talks, and shared learning initiatives.

Core Cultural Values

• Trust and flexibility for a healthier work-life balance.
• Regular recognition of innovation and technical excellence.
• Transparent goal-setting that connects daily tasks with a larger business impact.

Data Engineering Tools and Technology Stack

Core Technologies in Use

• Apache Airflow or similar orchestration tools
• AWS Glue, Redshift, Lambda, and S3 buckets
• Spark and distributed computing frameworks
• Programming in Python or Scala
• Querying with SQL and optimizing data warehouses
• Version control and CI/CD via GitHub and Docker

Data Governance and Real-Time Capabilities

• Environments with strong data governance principles
• Experience with real-time streaming data pipelines
• Emphasis on remote data warehousing and synchronization

Required Qualifications and Expertise

Educational and Professional Background

• An accredited undergraduate or postgraduate qualification in Computer Science, Engineering, or a related technical discipline.
• 3+ years of experience in data pipeline development, preferably in a cloud environment.

Core Technical Skills and Soft Skills

• Proficiency in building and maintaining cloud-native data workflows.
• Advanced knowledge of SQL optimization and data warehouse design.
• Comfortable working in asynchronous teams using modern project management tools.
• Strong troubleshooting and problem-solving abilities with a data-first mindset.
• Excellent written and verbal communication to convey complex concepts to non-technical stakeholders.

Professional Growth and Advancement

Opportunities for Career Development

• Access to personalized learning paths, tech conferences, and industry certifications.
• Leadership opportunities within special projects or mentoring junior team members.
• Direct input into architectural decisions and roadmap planning.
• A clear trajectory for advancement into senior engineering, data architecture, or team lead roles.

Long-Term Career Impact

Your work will directly influence how decisions are made across departments, giving you visibility and impact that can rapidly accelerate your career.

Strategic Impact Within the Organization

Business-Critical Contributions

This role is pivotal in enabling data-driven decision-making across the organization. From improving data pipeline reliability to contributing to predictive modeling and remote analytics, your work will be critical in powering dashboards, insights, and scalable infrastructure.

Driving Intelligence Through Data

You will help convert raw information into refined intelligence, allowing stakeholders to act with confidence and accuracy.

Apply Now – Build the Future of Remote Data Engineering

Ready to engineer the future of data from the comfort of your home? Join a collaborative, mission-focused team that values your expertise and helps you flourish in your career. This is your chance to build systems that matter, innovate freely, and grow with purpose. Apply now to become part of a company that believes in the power of distributed talent and data-led innovation.