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Coursera

Senior Data Engineer

🇨🇦 Remote - CA

🕑 Full-Time

💰 TBD

💻 Data Science

🗓️ December 27th, 2022

ETL Python SQL
Coursera can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. Our interviews and onboarding are conducted virtually, a part of being a remote-first company.

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 113 million registered learners as of September 30, 2022. Coursera partners with over 275 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.

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

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
  • Be a technical leader for the team; guide technical and architectural designs for the major team initiatives; mentor junior members of the team
  • 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

Basic Qualifications:
  • 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

If this opportunity interests you, you might like these courses on Coursera:
 
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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 accommodations@coursera.org.
 
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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