Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

Candidates should possess 5+ years of data engineering experience, with a significant portion focused on on-premise systems such as Hadoop and HDFS, and demonstrated consistency with tenure at companies (e.g., average of 2+ years). Practical knowledge of engineering best practices, emphasizing system robustness and maintainability, is required, along with expertise in tools like Airflow, Kafka, Spark, and Hive. Advanced proficiency in Python and Java/Scala, with deep knowledge of one language, and advanced working knowledge of SQL and experience with various database dialects are also necessary.

Responsibilities

As a Senior Data Engineer, you will design and build scalable data pipelines using tools such as Airflow, Spark, and Kafka, monitor and alert for data quality issues, support data governance and lineage initiatives, contribute to the development of the shared data platform for critical use cases like product analytics, and enhance operational excellence by identifying and implementing improvements in system reliability and performance. You will also work to troubleshoot systems and pipelines for performance and scaling, and communicate effectively with technical and non-technical stakeholders to produce clear technical designs.

Skills

Airflow
Kafka
Spark
Hive
Python
Java
Scala
SQL
Database querying
Data governance
Data lineage
Data quality

Wikimedia Foundation

Operates Wikipedia and free knowledge projects

About Wikimedia Foundation

The Wikimedia Foundation operates Wikipedia and other free knowledge projects, aiming to create a world where everyone can freely access and share knowledge. It provides a platform for users to read, contribute, and share content, while also supporting the volunteer communities that help maintain these projects. The foundation is funded by donations from individuals and institutions, emphasizing its nonprofit status. Unlike many other organizations, it focuses on making knowledge accessible to all without charge, advocating for policies that support free knowledge initiatives. Its goal is to empower individuals to contribute to and benefit from a collective pool of knowledge.

San Francisco, CaliforniaHeadquarters
2003Year Founded
$145.9MTotal Funding
GRANTCompany Stage
Social Impact, EducationIndustries
501-1,000Employees

Benefits

Remote Work Options

Risks

Reliance on Nvidia's AI tech may affect Wikimedia's data processing autonomy.
DSA audit could reveal vulnerabilities requiring significant resources to address.
Decentralized platforms like Mastodon may divert users from Wikipedia.

Differentiation

Wikimedia Foundation operates the world's largest free online encyclopedia, Wikipedia.
It supports a diverse range of projects like Wiktionary and Wikisource.
The Foundation is a non-profit, relying on global donations for funding.

Upsides

Nvidia's NeMo Retriever tech reduced Wikipedia processing time from 30 days to 3 days.
Holistic AI's audit under the DSA enhances Wikimedia's platform safety and accountability.
Collaboration with Open Foundation West Africa combats misinformation during Ghana's elections.

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