Data Platform Engineer

Quizlet • Full-time • Denver, CO; New York, NY; San Francisco, CA; Seattle, WA • 1d ago

Why This Job is Featured on The SaaS Jobs

Data platform engineering sits at the center of modern SaaS, where product decisions, personalization, and reliability increasingly depend on well-run data and ML foundations. This role is featured because it supports a large-scale learning platform with significant usage volume, making the underlying pipelines, compute, and observability choices consequential in day-to-day operations. The remit spans both batch and real-time systems, reflecting how mature SaaS products blend analytics, experimentation, and production machine learning.

For SaaS professionals, the long-term value is in building repeatable platform capabilities that other teams depend on. Work like improving developer experience, driving adoption, and standardizing DataOps and MLOps practices translates across many SaaS environments, from growth-stage companies formalizing infrastructure to established platforms optimizing cost and reliability. The cross-functional partnering with Data Science, ML Engineering, and Product also develops the stakeholder fluency that platform roles require as organizations scale.

This role tends to fit engineers who enjoy building internal platforms as products, not just delivering one-off pipelines. It suits someone comfortable balancing reliability work with enabling new use cases, and who prefers collaborative design and operational ownership. With multiple levels available, it can align with candidates ready to deepen platform breadth or to lead standards and technical direction.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

About Quizlet:

At 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 Learning

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

About the Team:

The 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 Role:

We’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 will:

Build and maintain data and ML infrastructure to support model training, deployment, and monitoring
Design scalable data pipelines and systems (batch and real-time)
Improve platform usability, tooling, and developer efficiency
Drive reliability, observability, and automation across the platform
Partner cross-functionally to define and deliver data solutions
Contribute to technical design, code quality, and best practices

What you bring to the table:

Experience building and operating data or ML platforms in production
Strong background in distributed systems, data pipelines, and cloud infrastructure
Familiarity with tools such as Airflow, dbt, GCP, Kubernetes, or similar
Track record of improving system reliability and efficiency
Strong collaboration and problem-solving skills

Compensation, Benefits & Perks:

Quizlet 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 options
Collaborate with your manager and team to create a healthy work-life balance
20 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 match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Why 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 belonging

We 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 Closing:

At 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 Agencies:

At 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.

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