Senior Analytics Engineer

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 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.

We’re looking for a Senior Analytics Engineer I to join Khan Academy’s Analytics Engineering (AE) team. You’ll play a leading role in designing and building the datasets, pipelines, and semantic models that power insights across our organization.

You’ll own key areas of our data modeling ecosystem, partner closely with Data Infrastructure (DI), Data Analysts, and Product/Program teams, and help ensure that our data warehouse (Big Query) and BI layer (Looker) remain reliable, performant, and trusted.

This role is ideal for someone who’s deeply experienced in dbt and Looker
, enjoys solving complex modeling challenges, and takes ownership of how data flows and scales across the organization.

• Design, implement, and optimize dbt models that transform raw event- and entity-level data into analytics-ready datasets.
• Own and evolve data domains that support reporting across Khan Academy.
• Develop, document, and test semantic and reporting layers in Looker (LookML).
• Partner with Analysts to establish consistent metric definitions, reusable data patterns, and shared governance practices.
• Drive data modeling standards and champion best practices in naming, testing, and schema design.
• Diagnose and resolve complex data issues, coordinating across Data Infrastructure and Engineering when needed.
• Mentor Analytics Engineers and Analysts, providing feedback through code reviews and technical guidance.
• Collaborate with cross-functional teams to identify opportunities to improve data accessibility and reliability.

Required

Skills & Experience:

• 6+ years of experience in analytics engineering, data engineering, or a related data role.
• Expert-level SQL and dbt skills (macros, Jinja, incremental model strategies, schema testing).
• Deep experience building and maintaining Looker models (LookML, Explores, derived tables, and performance tuning).
• Proven ability to design scalable, maintainable data models (SCD2, star schemas, bridge tables, data marts).
• Familiarity with modern data stacks (e.g., Big Query, Git, and CI/CD practices for testing and deploying data models).
• Experience orchestrating workflows using tools like Airflow.
• Strong cross-functional communication skills and ability to influence data decisions across teams.
• Familiarity with version control and collaborative development (Git, pull requests, and code review).

Preferred:

• Experience with Big Query specifically.
• Background in education technology or mission-driven organizations.
• Demonstrated contributions to data governance, metrics standardization, or semantic modeling initiatives.

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

Collaboration: Confluence, Jira, Slack

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…