Analytics Engineer, Khan Academy
$107.7-121.2k
For Canadian applicants the range is $145,552 - $163,746 CAD. + Incentives
Nonprofit online education platform
Job no longer available
Nonprofit online education platform
1001+ employees
Job no longer available
$107.7-121.2k
For Canadian applicants the range is $145,552 - $163,746 CAD. + Incentives
1001+ employees
Company mission
Khan Academy's mission is to provide a free, world‑class education for anyone, anywhere.
Role
Who you are
- 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
- 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)
- Experience with BigQuery; familiarity with education-technology contexts
What the job involves
- 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
- 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
- OUR TECH STACK:
- Warehouse: BigQuery
- Transformation: dbt (open-source)
- BI / Semantic Layer: Looker
- Orchestration: Airflow
- Version Control: GitHub
- Collaboration: Confluence, Jira, Slack
Our take
Khan Academy is a non-profit that provides free online education materials, including teacher tools, instruction videos, and practice exercises to support users of all ages. It has over 10 million users a month and covers subjects all the way up to college level.
With nearly a quarter of American adults unable to use mathematics in daily life, Khan Academy’s interactive quizzes, instructional videos, and teacher tools are timely. Khan Academy started life as a series of educational YouTube videos, before building a full-scale platform after receiving an influx of donations from Silicon Valley philanthropists. This background has led it to embrace rather than reject the educational possibilities of new tech such as AI, with the founder regarding traditional institutions' banning of tools like ChatGPT as a mistake.
The company offers its tools completely for free, instead of relying on donations and volunteers. A key focus is tackling wealth inequality in education. A partnership with the College Board (who produce entrance examinations for higher education) has made access to SAT prep materials free for millions. 2024 saw a partnership with Microsoft for Khan Academy's Khanmigo product, now free to use for Microsoft customers.
Steph
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2020
$3m
GRANT
Oct 2017
$3m
GRANT
Total funding: $16.2m
Company benefits
- Flexible spending account (FSA)
- Dental insurance
- Optical insurance
- Life insurance
- Performance bonus
- 401K plan
- Family medical leave
- Diversity program
- Pet friendly workplace
- Work from home opportunities
- Health insurance
- Affinity groups where Parents, Black, Hispanic/Latino, Women and Gender Minorities, and LGBTQIA+ identified folks come together
Company HQ
Mountain View, CA
Leadership
Caroline Hu Flexer
(Co-Founder & CEO)Holds a BA in Architecture from Stanford and Harvard University. They also have an MBA from Stanford Graduate School of Business, and formerly co-founded Duck Duck Moose, a mobile educational platform for children.
Salman Khan
(Co-Founder & Executive Director)They graduated from Harvard Business School and have previously worked in Finance.
Salary benchmarks
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