Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 82 million registered learners as of March 31, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. More than 6,000 institutions have used Coursera to upskill and reskill their employees, citizens, and students, including in high-demand fields such as data science, technology, and business. Coursera became a B Corp in February 2021.
At Coursera, our data engineering team is unique, with the goal to democratize data and empower our internal and external users with data to build and enhance the next generation of learning experience. We are responsible to model and build our foundational core data lake that feeds our key data solutions. We build analytical products to serve our partners and customers with key insights. We believe the next generation of teaching and learning is personalized, accessible, and efficient — reaching a world of learners who need it — and that with our scale, data, technology, and talent we are best positioned to make that vision a reality.
Check out life at Coursera on The Muse!
During the full-time 16-week internship, you’ll be embedded as a member of our Data Engineering team and paired with a mentor on your team. You will have the guidance, the environment, and the responsibility of deploying your projects to production. You will work on real projects, features, and updates that will affect 80+ million learners worldwide! This internship will run from August 30 – December 17. It will be fully remote, but you will need to work remotely from one of the following Canadian provinces: Ontario, British Columbia, Alberta, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Prince Edward Island, or Saskatchewan.
Your responsibilities:
- Architect scalable data models and build efficient and reliable ETL pipelines to bring the data into our core data lake
- Design, build, and launch visualization and self-serve analytics products that empower our internal and external customers with flexible insights
- Build data expertise, and partner with data scientists and product engineers to define and standardize business rules and maintain high-fidelity data
- Partner with other engineers in the development of new tools to enable our teams and customers to understand and access data more efficiently
- Work cross-functionally (eg: product managers, engineers, business teams) to support new product and feature launches
Basic Qualification:
- Pursuing a degree in Computer Science, Software Engineering, Info Systems or equivalent experience, with a passion for data.
Preferred Qualifications:
- Experience with at least one scripting language (e.g., Python)
- Experience with relational databases and SQL
- Experience with big data technologies (eg: Hive, Spark, Presto) preferred
- Ability to communicate technical concepts clearly and concisely
- Independence and passion for innovation and learning new technologies
If this opportunity interests you, you might like these courses on Coursera:
Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected].
Please review our CCPA Applicant Notice here.
Canada (Remote) /
Data – Data Engineering /
Intern
To help us track our recruitment effort, please indicate in your cover letter where (ngotenders.net) you saw this job posting.