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and its reach billions of users monthly across 300+ languages and are powered by 200,000+ volunteer contributors. The Wikimedia Foundation’s Data Platform team enables this global knowledge ecosystem through robust data capabilities that serve both our internal teams and the public through products like , and . Our vision is a world in which every single human being can freely share in the sum of all human knowledge– including access to data for research, feature development, and .
As a Senior Data Engineer for our Data Platform, you will shape the future of how Wikimedia’s vast data ecosystem serves both our internal teams and the global community. You will help drive the s effort to unify data systems across the Wikimedia Foundation to deliver scalable solutions that support internal and external platform users and the open knowledge movement.
Experience
5+ years of data engineering experience , with a significant portion focused on
on-premise systems
(e.g., Hadoop, HDFS).
Practical knowledge of
engineering best practices
with a strong emphasis on
system robustness
and
maintainability .
Hands‑on experience in troubleshooting systems and pipelines for
performance
and
scaling .
Demonstrated consistency with
tenure
at companies (e.g., average of 2+ years, ideally including longer engagements).
Desirable:
Exposure to architectural/system design or technical leadership tasks.
Desirable:
Experience in
data governance ,
data lineage , and
data quality
initiatives.
Skills Core Technical Skills
Expertise in tools like
Airflow ,
Kafka ,
Spark , and
Hive .
Advanced proficiency in
Python
and
Java/Scala , with deep knowledge of one language and its ecosystem.
Advanced working knowledge of
SQL
and experience with various database/query dialects (e.g., MariaDB, HiveQL, CassandraQL, Spark SQL, Presto).
Bonus Skills
Familiarity with additional technologies such as
Flink ,
Iceberg ,
Druid ,
Presto ,
Cassandra ,
Kubernetes , and
Docker .
Expertise in AI development tooling
and AI applications in data engineering and analytics.
Other Skills
Familiarity with stream processing frameworks like
Spark Streaming
or
Flink .
Strong communication and collaboration skills to interact effectively within and across teams.
Ability to produce clear, well‑documented technical designs and articulate ideas to both technical and non‑technical stakeholders.
Responsibilities
Designing and Building Data Pipelines:
Develop scalable, robust infrastructure and processes using tools such as
Airflow ,
Spark , and
Kafka .
Monitoring and Alerting for Data Quality:
Implement systems to detect and address potential data issues promptly.
Supporting Data Governance and Lineage:
Assist in designing and implementing solutions to track and manage data across pipelines.
Data Platform Development:
Contribute to the design and improvement of the shared data platform, enabling critical use cases such as product analytics, bot detection, and image classification.
Enhancing Operational Excellence:
Identify and implement improvements in system reliability, maintainability, and performance.
Our work environment You’ll join a geographically distributed team and report to the Engineering Manager, Data Platform Engineering. We operate lean teams with significant maintenance scope and ambitious goals to scale the Wikimedia Foundation’s data capabilities. Our work directly impacts billions of users while advancing accessibility.
About the Wikimedia Foundation The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not‑for‑profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax‑exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote‑first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$ 113,082 t o US$ 175,725 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
Available Countries Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Kingdom, United States of America and Uruguay. Our non‑US employees are hired through a local third party Employer of Record (EOR).
We periodically review this list to streamline to ensure alignment with our hiring requirements.
All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.
If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at or .
#J-18808-Ljbffr
As a Senior Data Engineer for our Data Platform, you will shape the future of how Wikimedia’s vast data ecosystem serves both our internal teams and the global community. You will help drive the s effort to unify data systems across the Wikimedia Foundation to deliver scalable solutions that support internal and external platform users and the open knowledge movement.
Experience
5+ years of data engineering experience , with a significant portion focused on
on-premise systems
(e.g., Hadoop, HDFS).
Practical knowledge of
engineering best practices
with a strong emphasis on
system robustness
and
maintainability .
Hands‑on experience in troubleshooting systems and pipelines for
performance
and
scaling .
Demonstrated consistency with
tenure
at companies (e.g., average of 2+ years, ideally including longer engagements).
Desirable:
Exposure to architectural/system design or technical leadership tasks.
Desirable:
Experience in
data governance ,
data lineage , and
data quality
initiatives.
Skills Core Technical Skills
Expertise in tools like
Airflow ,
Kafka ,
Spark , and
Hive .
Advanced proficiency in
Python
and
Java/Scala , with deep knowledge of one language and its ecosystem.
Advanced working knowledge of
SQL
and experience with various database/query dialects (e.g., MariaDB, HiveQL, CassandraQL, Spark SQL, Presto).
Bonus Skills
Familiarity with additional technologies such as
Flink ,
Iceberg ,
Druid ,
Presto ,
Cassandra ,
Kubernetes , and
Docker .
Expertise in AI development tooling
and AI applications in data engineering and analytics.
Other Skills
Familiarity with stream processing frameworks like
Spark Streaming
or
Flink .
Strong communication and collaboration skills to interact effectively within and across teams.
Ability to produce clear, well‑documented technical designs and articulate ideas to both technical and non‑technical stakeholders.
Responsibilities
Designing and Building Data Pipelines:
Develop scalable, robust infrastructure and processes using tools such as
Airflow ,
Spark , and
Kafka .
Monitoring and Alerting for Data Quality:
Implement systems to detect and address potential data issues promptly.
Supporting Data Governance and Lineage:
Assist in designing and implementing solutions to track and manage data across pipelines.
Data Platform Development:
Contribute to the design and improvement of the shared data platform, enabling critical use cases such as product analytics, bot detection, and image classification.
Enhancing Operational Excellence:
Identify and implement improvements in system reliability, maintainability, and performance.
Our work environment You’ll join a geographically distributed team and report to the Engineering Manager, Data Platform Engineering. We operate lean teams with significant maintenance scope and ambitious goals to scale the Wikimedia Foundation’s data capabilities. Our work directly impacts billions of users while advancing accessibility.
About the Wikimedia Foundation The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not‑for‑profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax‑exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote‑first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$ 113,082 t o US$ 175,725 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
Available Countries Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Kingdom, United States of America and Uruguay. Our non‑US employees are hired through a local third party Employer of Record (EOR).
We periodically review this list to streamline to ensure alignment with our hiring requirements.
All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.
If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at or .
#J-18808-Ljbffr