Data Platform Engineer

About QuizletAt Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools.Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.About The TeamThe AI & Data Platform team builds the foundation that powers all data and machine learning at Quizlet. Our focus is on creating scalable, reliable, and efficient systems that enable teams across the company to develop and deploy high-impact, AI-driven products.We prioritize operational excellence and leverage best-in-class DataOps and MLOps technologies to accelerate innovation.About The RoleWe’re hiring Data Platform Engineers across multiple levels (Staff - Principal Engineer), with leveling determined through the interview process.In this role, you’ll design and build the infrastructure that supports large-scale data processing and machine learning workflows. You’ll partner closely with Data Science, ML Engineering, and Product teams to deliver systems that are reliable, scalable, and easy to use.Success in this role is measured by platform reliability, developer experience, and adoption across teams.We’re happy to share that this is an onsite position in either our Denver, San Francisco, Seattle, or NYC. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In This Role, You WillBuild and maintain data and ML infrastructure to support model training, deployment, and monitoringDesign scalable data pipelines and systems (batch and real-time)Improve platform usability, tooling, and developer efficiencyDrive reliability, observability, and automation across the platformPartner cross-functionally to define and deliver data solutionsContribute to technical design, code quality, and best practicesWhat You Bring To The TableExperience building and operating data or ML platforms in productionStrong background in distributed systems, data pipelines, and cloud infrastructureFamiliarity with tools such as Airflow, dbt, GCP, Kubernetes, or similarTrack record of improving system reliability and efficiencyStrong collaboration and problem-solving skillsCompensation, Benefits & PerksQuizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $205,000 - $316,000 depending on location and experience, as well as company stock optionsCollaborate with your manager and team to create a healthy work-life balance20 vacation days that we expect you to take!Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)Employer-sponsored 401k plan with company matchAccess to LinkedIn Learning and other resources to support professional growthPaid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits40 hours of annual paid time off to participate in volunteer programs of choiceWhy Join Quizlet?🌎 Massive reach: 60M+ users, 1B+ interactions per week🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science📈 Strong momentum: Top-tier investors, sustainable business, real traction🎯 Mission-first: Work that makes a difference in people’s lives🤝 Inclusive culture: Committed to equity, diversity, and belongingWe strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.We provide a transparent setting that gives a comprehensive view of who we are!In ClosingAt Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.”Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!To All Recruiters And Placement AgenciesAt this time, Quizlet does not accept unsolicited agency resumes and/or profiles.Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.