Senior Data Engineer - Remote

Overview

D2L is a cloud company that is modernizing education and building the Future of Work. The old models of teaching and learning are in the midst of the largest transformation in history, and D2L is at the heart of that fundamental shift. New models of teaching and learning enable a personalized, student-centric experience – and deliver improved retention, engagement, satisfaction, and results for learners of all ages – in schools, campuses, and companies.

D2L is disrupting the way the world learns, by providing the next generation learning environment and solutions to engage and inspire learners. And most importantly, by giving customers a platform that is easy, flexible, and smart. No other company provides a solution as robust and innovative as D2L.

D2L has had a singular mission for 25 years and is dedicated to that same mission in the years ahead: to transform the way the world learns – and by doing so, we will help improve human potential globally.

A member of our Talent Acquisition team reviews ALL of our applications - yes a real person reviews resumes! They are excited to read more about what amazing things you could add to D2L.

In Short

• Collaborate with the D2L Data Services team lead to streamline and prioritize daily data operations and maintenance activities.
• Contribute to the evolution of data practices within D2L.
• Contribute to creating, maintaining and operationalizing a sustainable data pipeline architecture.
• Develop data extractions and tools for processing and storing data while ensuring the scalability, efficiency, and reliability of our data infrastructure aligned to common practices.
• Ensure that D2L’s corporate data is secure and aligned with contractual obligations for data residency.
• Build and support paved paths for data sets to be used consistently by the distributed visualization functions across D2L.
• Collaborate with business stakeholders to understand functional requirements to enable data-driven decision-making through simple self-service reporting.
• Engage with Visualization experts to provide consultation on optimizing data processes and efficiencies.

Requirements

• An analytical mind, demonstrating creativity, problem-solving aptitude, and a desire for continual improvement.
• 4+ years of experience in data engineering, data science, or a related field, showcasing your knowledge and proven track record. Development experience (ex. Python) is an asset.
• Hands-on experience with database design, and complex SQL queries enabling you to create effective data solutions.
• Familiarity with deploying AWS infrastructure using Terraform, and experience working with ETL systems such as SSIS, Glue, or similar tools.
• Build and manage data lakes, warehouses, and vector databases that support LLMs and generative AI use cases.
• Passion for AI technologies and experience integrating AI/ML models or platforms.
• Experience working collaboratively with business stakeholders on designing and developing data-driven insights.
• Effects quantifiable business impact by solving stakeholder problems using data solutions and influencing outcomes based on best practices.

Benefits

• Impactful work transforming the way the world learns.
• Flexible work arrangements.
• Learning and Growth opportunities.
• Tuition reimbursement of up to $4,000 CAD for continuing education through our Catch the Wave Program.
• 2 Paid Days off for Catch the Wave related activities like exams or final assignments.
• Employee wellbeing (Access to mental health services, EFAP program, financial planning and more).
• Retirement planning.
• 2 Paid Volunteer Days.
• Competitive Benefits Package.
• Home Internet Reimbursements.
• Employee Referral Program.
• Wellness Reimbursement.
• Employee Recognition.
• Social Events.
• Dog Friendly Offices at our HQ in Kitchener, Winnipeg, Vancouver and Melbourne.