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Open Data Engineer

The position will work in the Web Archiving Group, supporting development of web archiving and data services for partners ranging from national libraries and governments to universities, researchers, and collaborating technology partners. The role will help build, maintain, and scale new and existing software and services, including at-scale data processing pipelines, access and harvesting technologies, APIs, and contribute to improving our systems and services used by libraries and open knowledge organizations around the world. The position will also help to synthesize user and business driven technical needs into new engineering and development projects and features across our portfolio of paid services. This role contributes to managing data at scale, building new tools and technologies, monitoring and deploying production systems, working closely with a distributed team of program/product staff and engineers, and liaising directly with an international set of collaborators and clients on web and data services.

Responsibilities & Duties

  • Contribute to both new engineering and maintenance/improvement needs for our core data systems supporting production services, data processing, and access tools and APIs.
  • Support existing services, and architect and build new products for libraries and knowledge organizations related to the access, indexing, harvesting, and use of large voluments of born-digital scholarly materials collected from the web and other systems, including R&D related to data extraction, processing, and search/access.
  • Participate in documentation, community outreach and partners relations, promoting our work and services to the global community via travel, publication, and presentations.
  • Deploy, monitor, and maintain user-facing public services with a focus on process automation and operational resilience.
  • Support our Research Services activities, working with researchers on using large sets of IA data in data-driven scholarship and computational research.
  • Participate in supporting/improving post-acquisition data processing pipelines such as indexing, content mining, and data transformation and derivation, etc.

Preferred Skills & Requirements

3-4 years of experience in Python and Unix/Linux shell

  • Knowledge of building and deploying web applications, databases, web-host services, and knowledge of basic Linux system administration
  • Experience with version control (git), open source practices, and code review
  • Solid experience in Internet protocols, HTML, JavaScript and web technologies in general
  • General experience in frontend/Javascript coding
  • Cluster computing experience is preferred, especially familiarity with Hadoop, Spark, and related technologies and tools
  • Ability to work in, and enjoy, a loosely structured work environment with a mostly remote team operating from many time zones and continents
  • Bachelor's Degree in Computer Science or a related field, five years of progressively responsible experience in software development, or relevant experience.

Reporting Structure: The Web Data Engineer reports to the Director, Web Archiving & Data Services and works closely with program staff in Web Archiving & Data Services team, and with the broader IA operations/infrastructure and engineering teams.

Location: San Francisco, CA or remote
References must be made available upon request.

Internet Archive is an Equal Opportunity Employer. Internet Archive complies with the Fair Chance Ordinance. Internet Archive is a 501(c)(3) non-profit library founded in 1996.

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