Senior Analytics Engineer

Notice to applicants: We have seen a rise in recruitment scams. Please note that outreach from Khan Academy recruiters will only come from the @khanacademy.org domain. Our team does not use Gmail or other personal accounts for contacting potential candidates. Khan Academy will never solicit money, equipment fees, or sensitive financial information at any stage of the hiring process. We also do not work with external recruiting agencies, so outreach from headhunters presenting opportunities on behalf of Khan Academy is illegitimate. Please always check the email domain and cross-reference the position with the official Khan Academy Careers page to confirm an opening is valid. 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 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 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 (BigQuery) 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. What You’ll Do 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. What We’re Looking For Required Skills Experience: 5+ years of deep, warehouse-centric analytics engineering experience. 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., BigQuery, Git, and CI/CD practices for testing and deploying data models). Experience orc ... (truncated, view full listing at source)