Senior Analytics Engineer - Remote Eligible

Senior Analytics Engineer

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.

About the Role

We're looking for a Senior Analytics Engineer 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:

• 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).

Preferred:

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

Our Tech Stack

• Warehouse: BigQuery
• Transformation: dbt (open-source)
• BI / Semantic Layer: Looker
• Orchestration: Airflow
• Version Control: GitHub

Collaboration: Confluence, Jira, Slack

Perks and 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
• 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 $137,871 - $155,105 USD annually for candidates based in the United States and $186,306 - $209,595 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.

More About Us

• Sal's TED talk from 2011
• Sal's TED talk from 2015
• Sal's TED talk from 2023
• Our team: http://www.khanacademy.org/about/the-team

Our Company Values

Live & breathe learners

Take a stand

Embrace diverse perspectives

Work responsibly and sustainably

Bring out the joy

Cultivate learning mindset

Deliver wow

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply. As part of this commitment, Khan Academy will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact careers@khanacademy.org.