Senior Data Engineer

Launched in 2012 by two Stanford professors, Andrew Ng and Daphne Koller, Coursera is now one of the largest online learning platforms in the world, with 168 million registered learners. Our mission is to provide universal access to world-class learning. We partner with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations and Professional Certificates degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in 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.

Job Overview:
Does architecting high quality and scalable data pipelines powering business critical applications excite you? How about working with cutting edge technologies alongside some of the brightest and most collaborative individuals in the industry? Join us, in our mission to bring the best learning to every corner of the world!

We’re looking for a passionate and talented individual with a keen eye for data to join the Data Engineering team at Coursera! Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera. In addition, Data Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction.

You firmly believe in Coursera's potential to make a significant impact on the world, and align with our core values:

• Learners first: Champion the needs, potential, and progress of learners everywhere.
• Play for team Coursera: Excel as an individual and win as a team. Put Coursera’s mission and results before personal goals.
• Maximize impact: Increase leverage by focusing on things that produce bigger results with less effort.
• Learn, change, and grow: Move fast, take risks, innovate, and learn quickly. Invite and offer feedback with respect, courage, and candor.
• Love without limits: Celebrate the diversity and dignity of every one of our employees, learners, customers, and partners.

Your responsibilities

• Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark. Your work will lay the foundation for our data-driven culture.
• Design, build, and launch self-serve analytics products. Your creations will empower our internal and external customers, providing them with rich insights to make informed decisions.
• Be a technical leader for the team. Your guidance in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Data Engineering at Coursera and foster a culture of continuous learning and growth.
• Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data.
• Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while adhering to high standards of governance and compliance.
• Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches.

Your skills

• 5+ years experience in data engineering with expertise in data architecture and pipelines
• Strong programming skills in Python
• Proficient with relational databases, data modeling, and SQL
• Experience with big data technologies (eg: Hive, Spark, Presto)
• Familiarity with batch and streaming architectures preferred
• Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary
• Knowledgeable on data governance and compliance best practices
• Ability to communicate technical concepts clearly and concisely
• Independence and passion for innovation and learning new technologies

If this opportunity interest you, you might like these courses on Coursera - 

• Big Data Specialization
• Data Warehousing for Business Intelligence
• IBM Data Engineering Professional Certificate

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