Senior Data Engineer , Data Infrastructure; Mountain View, CA​/Remo

Mountain View, CA / Remote friendly (Continental US + Hawaii + Canada)

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.

Khan Academy is partnering with Safe Insights to provide researchers access to student learning data in a secure containerized system that strongly protects student privacy. We are looking for a senior data engineer for a 12 month fixed‑term to implement creation of the Safe Insight container, ETL processes, and tools. We seek a curious, passionate individual who can apply their strong technical skills to this area and work collaboratively with our data architect, the Data Infrastructure team, and our Data Insights Group to drive the technical success of the implementation effort.

• Collaborate with our Data Insights Group to understand the desired end data product and the overall project goals
• Collaborate with our data architect and Data Infrastructure team to understand available data source and tooling
• Propose tooling and processes that will work with extant Khan Academy systems to meet the project goals
• Build, test, and refine these tools and processes
• Deliver the Safe Insights container and associated project deliverables
• Provide documentation and training required to maintain and enhance the above

• 5+ years of experience in data engineering within a production environment
• Experience with Google infrastructure services and data services, particularly GCS & Big Query
• Advanced knowledge of Python
• Demonstrated proficiency with Docker and Kubernetes
• Experience with Airflow
• Background in applied math, statistics, economics, or a related technical field
• Motivated by the Khan Academy mission “to provide a free world‑class education for anyone, anywhere.”
• Proven cross‑cultural competency skills demonstrating self‑awareness, awareness of others, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
• Knowledge of Go is a strong plus
• Experience in a data science research capacity is a plus

• Ample paid time off as needed – Your well‑being is a priority.
• 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

The target salary range for this position is $137,871 - $172,339 USD / $186,306 - $232,883 CAD. 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.

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.