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Khan Academy

Senior Data Engineer I, Data Infrastructure (12 months fixed-term) Mountain View

Khan Academy, Mountain View, California, us, 94039

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

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.

THE ROLE Khan Academy is partnering with SafeInsights 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 SafeInsight 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.

RESPONSIBILITIES

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 SafeInsights container and associated project deliverables

Provide documentation and training required to maintain and enhance the above

QUALIFICATIONS

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

BENEFITS

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@khanacademy.org.

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