Senior Analytics Engineer
About The Position
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.
Requirements
- 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., BigQuery, 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).
Nice To Haves
- Experience with BigQuery specifically.
- Background in education technology or mission-driven organizations.
- Demonstrated contributions to data governance, metrics standardization, or semantic modeling initiatives.
Responsibilities
- 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.
Benefits
- 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
- 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
251-500 employees
