Senior Data Engineer

Sorry, this job was removed at 04:13 a.m. (CST) on Tuesday, Oct 28, 2025
Easy Apply
India
Consumer Web • Edtech • Enterprise Web • Social Impact
Transform lives through learning.
The Role

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 191 million registered learners as of September 30, 2025. Coursera partners with over 375 leading universities and industry partners to offer a broad catalogue of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.

We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

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 

#LI-PD1

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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The Company
HQ: Mountain View, California
1,300 Employees
Year Founded: 2012

What We Do

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 183 million registered learners as of June 30, 2025. Coursera partners with over 350 leading university and industry partners 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.

We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

Why Work With Us

People who thrive at here are customer-first builders who deeply understand our learners and partners, translate their needs into simple, high-impact solutions, and refuse to stop at “good enough.” They own outcomes end to end, move fast, simplify ruthlessly and iterate relentlessly on the metrics that matter to invent the future of learning.

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