No Commute

ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 181 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities.

 

OUR COMMUNITY ABOUT THE ROLE 

Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

 

ABOUT THE ROLE

We’re looking for an Analytics Engineer II to join Khan Academy’s Analytics Engineering (AE) team. You’ll help transform raw product, learning, and operational data into clean, reliable, and well-modeled datasets that power insights across the organization.

You’ll collaborate closely with Data Infrastructure (DI), Data Analysts, and Product/Program teams to ensure that our data warehouse (BigQuery) and BI layer (Looker) serve as trusted sources for decision-making.

This role is ideal for someone who’s comfortable working across both dbt and Looker, has an eye for data model design, and enjoys making complex data systems intuitive and performant.

 

WHAT YOU'LL DO

• Design, build, and maintain dbt models that transform raw event- and entity-level data into curated, analytics-ready datasets.
• Develop, document, and test semantic and reporting layers in Looker (LookML).
• Partner with Analysts and cross-functional stakeholders to ensure consistent metric definitions and accurate data pipelines.
• Contribute to data modeling best practices, including naming conventions, incremental strategies, and schema evolution.
• Implement data quality tests and validation checks to ensure reliability of production datasets.
• Monitor and troubleshoot data issues, coordinating fixes with Data Infrastructure and Engineering.

 

WHAT WE'RE LOOKING FOR

Required Skills & Experience:

• 3+ years of deep, warehouse-centric analytics engineering experience..
• Strong SQL and dbt proficiency (including macros, Jinja, and incremental model strategies).
• Hands-on experience building and maintaining Looker models (LookML, Explores, derived tables).
• Familiarity with modern data stacks (e.g., BigQuery, Git, and basic CI/CD practices for testing and deploying data models).
• Understanding of data modeling concepts (SCDs, star schemas, bridge tables).
• Strong communication skills and comfort collaborating across technical and non-technical teams.
• Exposure to orchestration tools like Airflow.
• Familiarity with version control and collaborative development (Git, code review).

Preferred: Experience with BigQuery; familiarity with education-technology contexts.

OUR TECH STACK

• Warehouse: BigQuery
• Transformation: dbt (open-source)
• BI / Semantic Layer: Looker
• Orchestration: Airflow
• Version Control: GitHub
• Collaboration: Confluence, Jira, Slack

 

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team extremely well! We offer:

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority
• 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy, we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

 

The compensation band for this role is $107,712 - $121,176 USD annually for candidates based in the United States and $145,552 - $163,746 CAD annually for candidates based in Canada.

The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Additional incentives are provided as part of the complete total rewards package, in addition to comprehensive medical and other benefits.

 

MORE ABOUT US

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal's TED talk from 2023
• Our team:  http://www.khanacademy.org/about/the-team

OUR COMPANY VALUES

Live & breathe learners

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Take a stand

As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.

Embrace diverse perspectives

We are a diverse community. We seek out and embrace a diversity of voices, perspectives, and life experiences, leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn, and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

Work responsibly and sustainably

We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.

Bring out the joy

We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.

Cultivate learning mindset

We believe in the power of growth for