Senior Data Engineer

CloudDevs; San Francisco (CA); Remote; USD 113,082 - 175,725; Full time

Job summary

A nonprofit organization is seeking a Senior Data Engineer to enhance their data capabilities. This role involves designing scalable data pipelines and ensuring data quality. Candidates should have over 5 years of experience in data engineering and be proficient in tools like Airflow and Spark. The expected annual salary ranges from $113,082 to $175,725, depending on various factors.

Qualifications

• 5+ years of data engineering experience focused on on-premise systems.
• Practical knowledge of engineering best practices for system robustness.
• Hands-on experience troubleshooting performance issues.

Responsibilities

• Design scalable, robust data pipelines using Airflow, Spark, and Kafka.
• Implement data quality monitoring systems.
• Contribute to the development of the shared data platform.

Skills

Expertise in Airflow

Expertise in Kafka

Expertise in Spark

Expertise in Hive

Advanced proficiency in Python

Advanced proficiency in Java/Scala

Advanced working knowledge of SQL

Tools

Docker

Kubernetes

Flink

Iceberg

Druid

Presto

Cassandra

Job description

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 inAI 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 .