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Sr. Data Engineer, Analytics

About Quizlet:


Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.  


Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.


Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.  


To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.



About the Team:


The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency. The team is working towards a data infrastructure that will help everyone at Quizlet understand and trust the data they use everyday.


About the Role:


We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create a standardized and opinionated data model for our embedded analysts to expand. Our data warehouse is built using tools like BigQuery, Airflow, and dbt.


We’re happy to share that this is an onsite position. To help foster team collaboration, we require that employees be in the office at a minimum of three days a 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:
  • Implement data pipelines and data ingestion best practices
  • Collaborate with cross-functional teams, including Product Management, Data Analytics, and Product Engineering, to build systems that support a diverse range of data needs
  • Build tools and models for our data warehouse that increase data quality and development efficiency
  • Troubleshoot and resolve performance challenges with our jobs and queries
  • Design tools and tests for product engineers to ensure data quality at the time it is produced
  • Automate and enhance the software development lifecycle of our data processes by adding automation and working with dbt, Airflow, and other tools


What you bring to the table:
  • Strong communication skills with people at all levels of data/technical proficiency
  • Demonstrated expertise in building scalable, high-performance data pipelines
  • Ability to create robust data standards for internal and cross-functional teams
  • Familiarity with programming language practices for both frontend and backend systems
  • Extensive experience in SQL and using cloud-based databases such as BigQuery, MySQL, or Snowflake 


Bonus points if you have:
  • Experience with Google Cloud Platform and dbt
  • Experience with software development particularly using GoLang


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 $161,000 - $207,000, 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 (and we expect you to take them!)
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, 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, Wellness benefits
  • 40 hours of annual paid time off to participate in volunteer programs of choice


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:


We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.


We have a bias for action, take initiative, and take pride in delivering results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

 

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.


Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. 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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Average salary estimate

$184000 / YEARLY (est.)
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$161000K
$207000K

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What You Should Know About Sr. Data Engineer, Analytics, Quizlet

At Quizlet, we're on the lookout for a passionate Sr. Data Engineer, Analytics to join our vibrant team in New York, NY. As a key player in our Data Trust and Quality group, you'll be instrumental in maintaining our analytics tools and enhancing the integrity and efficiency of our data pipelines. We believe in building comprehensive solutions that empower our team and our users. In this role, you will develop standardized data models that will help our embedded analysts thrive. You'll get to work with exciting technologies like BigQuery, Airflow, and dbt, powering a data infrastructure that everyone at Quizlet can rely on for critical insights. We're a team that values collaboration, so you’ll partner closely with Product Management, Data Analytics, and Product Engineering teams to fulfill a variety of data needs. If you’re excited about implementing best practices for data pipelines and building innovative systems that elevate data quality and developmental efficiency, we want to hear from you! This is not just a job; it's an opportunity to contribute to a global community of learners and harness your skills to make an impact. Our working environment is engaging and encourages growth, as we believe that being in the office fosters teamwork and innovation. To succeed here, you'll need to bring strong communication abilities and a proven track record in building scalable data pipelines. Plus, if you’re familiar with Google Cloud Platform and have software development experience, that's a bonus! Join us at Quizlet, where we embrace curiosity and aim to empower learners around the globe.

Frequently Asked Questions (FAQs) for Sr. Data Engineer, Analytics Role at Quizlet
What are the main responsibilities of a Sr. Data Engineer, Analytics at Quizlet?

As a Sr. Data Engineer, Analytics at Quizlet, your primary responsibilities will include implementing data pipelines and data ingestion best practices, collaborating with cross-functional teams to address diverse data needs, and building tools that enhance data quality and development efficiency. You will troubleshoot performance issues and design validation tools to ensure data integrity, utilizing technologies like BigQuery, Airflow, and dbt.

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What qualifications do I need to apply for the Sr. Data Engineer, Analytics position at Quizlet?

To qualify for the Sr. Data Engineer, Analytics role at Quizlet, applicants should have extensive experience in SQL and cloud-based databases like BigQuery, MySQL, or Snowflake. A strong background in building scalable data pipelines and the ability to create robust data standards for various teams is crucial. Communication skills are equally important, as you will interact with individuals at all levels of technical proficiency.

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How does Quizlet foster collaboration among the Data Engineering team?

Quizlet promotes collaboration within the Data Engineering team by requiring team members to be onsite at least three days per week, which facilitates increased work efficiency and partnerships. Team members work closely with cross-functional departments, allowing for shared knowledge and collaborative atmosphere that drives innovative solutions.

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What tools and technologies will I be using as a Sr. Data Engineer at Quizlet?

As a Sr. Data Engineer at Quizlet, you'll work with an array of modern tools and technologies, primarily focusing on BigQuery for data warehousing, Airflow for orchestrating data pipelines, and dbt for data transformation. Your role will include building models and tools that enhance data reliability and development efficiency, leveraging the latest engineering practices.

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What career growth opportunities exist for a Sr. Data Engineer at Quizlet?

At Quizlet, career growth opportunities are abundant for a Sr. Data Engineer, Analytics. You will have access to professional development resources such as LinkedIn Learning and be encouraged to take initiative and drive projects that showcase your skills. As our team grows and diversifies, there will be chances to take on leadership roles and expand your impact on the company's mission and the learning community at large.

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Common Interview Questions for Sr. Data Engineer, Analytics
How do you approach building a scalable data pipeline?

When building a scalable data pipeline, it's essential to first understand the data sources and the transformations needed. I focus on creating modular and reusable components while leveraging cloud resources for flexibility. I also prioritize monitoring and alerting to swiftly identify performance bottlenecks and ensure seamless scaling.

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Can you explain a time when you improved data quality in a previous role?

In my previous role, I discovered discrepancies between the data reported in our dashboards and the raw data in our database. I initiated a data quality audit process and implemented validation tests, which helped detect issues early. This not only improved data quality but also boosted team trust in our reporting tools.

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What strategies do you use to ensure collaboration between engineering and analytics teams?

I believe in holding regular sync meetings between engineering and analytics teams to discuss data needs and pipeline changes. Introducing shared documentation is also key to ensuring everyone stays informed. Tools like Slack channels or shared dashboards can foster ongoing communication and collaboration.

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How do you prioritize tasks when working on multiple data projects?

When managing multiple data projects, I prioritize by assessing project impact and urgency. I maintain a project management tool to track progress and communicate with stakeholders about timelines and expectations. Regularly reviewing priorities helps me stay focused on delivering high-value outcomes.

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Describe how you've leveraged dbt in your previous work.

In my previous role, I used dbt to streamline our data transformation process. By setting up modular models, I could easily test changes without impacting the overall pipeline. This not only simplified our data work but also empowered analysts to build their business logic directly within dbt.

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What is your experience with Airflow and its capabilities?

I have extensive experience using Airflow to orchestrate workflows, including data extraction, transformation, and loading. I have built complex DAGs that manage dependencies and automate executions. With Airflow, I find it's crucial to implement error handling to ensure that tasks can be retried seamlessly in case of failures.

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How would you handle a situation where stakeholders disagree on data requirements?

In such situations, I focus on facilitating open communication between stakeholders to understand their perspectives. I’d organize a meeting to discuss the requirements in detail, encouraging a collaborative approach to find a middle ground. Sometimes, visual proofs of concept can help clarify discussions.

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What technologies do you think are essential for a data engineer today?

In today's data landscape, I believe proficiency in cloud platforms like Google Cloud or AWS is essential, along with experience in SQL and ETL tools. Familiarity with orchestration tools like Airflow and transformation tools like dbt is also critical for efficient data workflows.

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Can you teach us about a complex data problem you solved in your last role?

At my last position, I tackled complex data aggregation issues involving large datasets. I implemented a distributed processing approach using cloud resources, optimizing our SQL queries. This not only improved processing speed but also allowed for more comprehensive data analysis without overloading our servers.

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What motivates you to work in data engineering?

I am driven by the challenge and impact of transforming raw data into actionable insights. The opportunity to work on projects that empower decision-making and improve data literacy excites me. I love being part of a team where curiosity thrives and learning is always prioritized.

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Helping students (and their teachers) practice and master whatever they are learning.

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Full-time, on-site
DATE POSTED
March 25, 2025

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