Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is an onsite position in Quizlet's San Francisco office, requiring employees to be in the office a minimum of three days per week: Monday, Wednesday, and Thursday, and as needed by your manager or the company.
The role requires 5–8+ years of experience.
The team's mission is to build and maintain a rock-solid, scalable, and efficient foundation for all data and machine learning operations at Quizlet, focusing on operational excellence and leveraging best-in-class MLOps and DataOps technologies.
Responsibilities include building and maintaining ML and data infrastructure for model training, deployment, and monitoring; collaborating with teams to design data systems; developing tools for developer efficiency; implementing scalable data ingestion systems; and contributing to platform reliability and mentoring peers.
This information is not specified in the job description.
Develops educational tools for students and teachers
Quizlet develops educational tools designed to inspire and empower students and teachers. It serves over 60 million active users each month and is recognized as one of the top education apps available on iOS and Android. Quizlet's products include various learning tools that help users study and retain information effectively. The platform offers both free and premium subscription services, allowing users to access additional features and resources. Unlike many competitors, Quizlet has a large user base and a strong presence in the education technology market, which enhances its community and resource sharing. The company's goal is to create a significant global impact in education by providing accessible and effective learning solutions.