Analytics Engineer II

Mountain View, CA / Remote (Continental US + Hawaii + Canada Only)

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 (Big Query) 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.

• 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.

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., Big Query, 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
Big Query
; familiarity with education‑technology contexts.

• Warehouse: Big Query
• Transformation: dbt (open‑source)
• BI / Semantic Layer: Looker
• Orchestration: Airflow
• Version Control: Git Hub

• 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…