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 136 million registered learners as of September 30, 2023.
Coursera partners with over 300 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.
Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.
We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.
Job Overview:
Data Engineering is unique at Coursera. Our team doesn’t simply build reports on demand; rather, we build the semantic infrastructure and products that empower our internal and external customers with the data to innovate and perform their jobs better.
We’re looking for a talented and driven data engineer with a keen eye for data. In this role, you’ll directly work with cross-functional teams to design, develop, and deploy partner data solutions. Our ideal candidate is an independent, analytically-minded individual with strong data modeling and software engineering skills, who shares our passion for education.
You personally exhibit a conviction that the world needs Coursera to be wildly successful and alignment to our core values:
- Betterment: a tireless pursuit to drive results
- Boldness: take risks and act decisively
- Deep Honesty: invite and offer candid feedback in order to learn, change, and grow
- Solidarity: recognize that we are part of something bigger than ourselves and are committed to our mission
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
- Define and partner with other engineers in the development of new tools to enable our customers to understand and access data more efficiently
- Work cross-functionally (eg: product managers, engineers, business teams) to support new product and feature launches
Your skills
- 5+ years experience in a data-related field, including data engineering, data warehousing, business intelligence, data visualization, and/or data science
- Strong software engineering skills and at least one scripting language (e.g., Python)
- Proficient with relational databases and SQL
- Familiarity and 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
Bonus
- Hands-on experience with AWS, Databricks, Delta Lake, Airflow, DBT, Redshift
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