Sr. Data Engineer- IT

at  D2L

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 20 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.

GENERAL DESCRIPTION (JOB SUMMARY):

As a Sr. Data Engineer within the D2L Data Services team under IT, you will contribute to expanding and maintaining our data pipeline architecture to democratize data at D2L. You will apply your experience working with various data technologies to make data accessible in a consistent manner across the organization. In this role, you will be responsible for building and maintaining services to extract, transform and load data from several data sources leveraging a technology stack influenced by the Data Services team.

EDUCATION RECOMMENDATIONS:

• Education in Computer Science, Data Science, Engineering, or relevant experience
  The expected base salary range for a new hire in this role is listed below. The annualized base salary offered is determined by each candidate’s relevant knowledge, skills, education, training and experience. It is aligned to ensure both internal and external competitiveness using market data for the geographic location and industry. As part of the total compensation at D2L the role may be eligible for additional benefits including a Wellness Subsidy, Equity Grants, Variable Incentive, and more.
  Base Salary Range

MAJOR RESPONSIBILITIES (HOW WILL I MAKE AN IMPACT?):

• 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 with 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

COMPETENCIES (WHAT YOU’LL BRING TO THE ROLE):

• 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 (C#, Python, or others) is an asset.
• Hands-on experience with database design, complex SQL queries, and report development, enabling you to create effective data solutions.
• Familiarity with AWS infrastructure and experience working with ETL systems such as SSIS, Glue, or similar tools.
• 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.

D2L Leadership Competencies

• Boundaryless: Collaborates with other teams, peers, and leaders to work towards common goals. Effective communicator with a proven track record.
• Delivers Awesome Outcomes: Strong prioritization skills. Effective problem solver, able to achieve results individually and working with others in fast-paced, deadline-driven environments.
• Better, Smarter, FasterGENERAL DESCRIPTION (JOB SUMMARY):As a Sr. Data Engineer within the D2L Data Services team under IT, you will contribute to expanding and maintaining our data pipeline architecture to democratize data at D2L. You will apply your experience working with various data technologies to make data accessible in a consistent manner across the organization. In this role, you will be responsible for building and maintaining services to extract, transform and load data from several data sources leveraging a technology stack influenced by the Data Services team.MAJOR RESPONSIBILITIES (HOW WILL I MAKE AN IMPACT?):
• 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 with 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 efficienciesCOMPETENCIES (WHAT YOU’LL BRING TO THE ROLE):
• 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 (C#, Python, or others) is an asset.
• Hands-on experience with database design, complex SQL queries, and report development, enabling you to create effective data solutions: An agile learner, with a growth mindset, attention to detail and organizational skills. A team contributor with a focus on continuous improvement and innovation.
• Wins Hearts and Minds: An effective communicator, with the ability to connect the why and the what.