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).
Looker
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.
Airflow
Familiarity with version control and collaborative development (Git, code review).
Preferred: Experience with BigQuery; familiarity with education-technology contexts.
Preferred:
BigQuery
education-technology
OUR TECH STACK
OUR TECH STACK
Warehouse: BigQuery
Warehouse:
Transformation: dbt (open-source)
Transformation:
BI / Semantic Layer: Looker
BI / Semantic Layer:
Orchestration: Airflow
Orchestration:
Version Control: GitHub
Version Control:
Collaboration: Confluence, Jira, Slack
Collaboration:
Responsibilities
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).
Looker
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.
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.