Coursera is a leading online learning platform for higher education, where 82 million learners from around the world come to learn skills of the future. More than 220 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, certificates, and degree programs. Thousands of companies trust the company’s enterprise platform Coursera for Business to transform their talent. Coursera for Government equips government employees and citizens with in-demand skills to build a competitive workforce. Coursera for Campus empowers any university to offer high-quality, job-relevant online education to students, alumni, faculty, and staff. Coursera is backed by leading investors that include Kleiner Perkins, New Enterprise Associates, Learn Capital, and SEEK Group.

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:

• Big Data Specialization
• Big Data Essentials - HDFS, MapReduce and Spark
• Data Warehousing for Business Intelligence

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 accommodations@coursera.org.

Please review our CCPA Applicant Notice here.