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Coursera
Learn new job skills in online courses from industry leaders like Google, IBM, & Meta. Advance your career with top degrees from Michigan, Penn, Imperial & more.Coursera was launched in 2012 by 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 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.
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.
At Coursera, we 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.
Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.
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.
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:
- 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
Nice to have:
- Hands-on experience with AWS, Databricks, Delta Lake, Airflow, DBT, Redshift
If this opportunity interest you, you might like these courses on Coursera -
- Big Data Specialization
- Big Data Essentials - HDFS, MapReduce and Spark
- Data Warehousing for Business Intelligence
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Big Data Business Intelligence Databricks Data Warehousing dbt Engineering ETL Generative AI HDFS Pipelines Python RDBMS Redshift Spark SQL
Perks/benefits: Career development Flex hours
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