Fast Facts

Coursera is seeking a Software Engineer I to join their data engineering team, where you'll architect scalable data models and build efficient ETL pipelines to enhance educational offerings. The ideal candidate will have strong software engineering skills and a passion for education, with some familiarity in big data technologies.

Responsibilities: Architect scalable data models, build ETL pipelines, design analytics products, and collaborate cross-functionally for product launches.

Skills: Strong software engineering skills, experience with SQL, familiarity with big data technologies, and clear communication abilities are essential.

Qualifications: Preferred experience with AWS, Databricks, Delta Lake, and similar big data tools.

Location: This position is remote, with a legal entity based in California, allowing candidates from various countries with compatible timezones.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $80,000 - $120,000.

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

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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].

For California Candidates, please review our CCPA Applicant Notice here.

For our Global Candidates, please review our GDPR Recruitment Notice here.

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