LinkedIn is seeking a Senior Software Engineer - Full Stack to join their DataHub team, a crucial component of LinkedIn's data infrastructure. The role offers an exciting opportunity to work on DataHub, a metadata management platform that catalogs datasets and helps LinkedIn employees discover, understand, and govern data effectively.
The position involves working with cutting-edge technologies and contributing to both front-end and back-end development. As part of the DataHub team, you'll be responsible for developing and maintaining tools that enable data producers and consumers across LinkedIn to work more efficiently with data. The platform serves various teams, from product engineering to business operations, making it a central piece of LinkedIn's data ecosystem.
The role offers unique challenges in building scalable solutions for metadata management, data discovery, and governance. You'll collaborate with teams across multiple geographies, including the United States and Ireland, working on projects such as role-based access control for datasets, integration with real-time data processing engines, and supporting data quality initiatives.
This hybrid position combines remote work flexibility with office collaboration, allowing you to maintain work-life balance while staying connected with your team. You'll have the opportunity to mentor junior engineers, drive technical decisions, and contribute to LinkedIn's open-source initiatives.
The ideal candidate should have strong full-stack development experience, particularly with technologies like React, JavaScript, Java, or Python. Knowledge of data infrastructure and experience with large-scale systems would be valuable assets. This role offers excellent growth opportunities and the chance to impact millions of professionals worldwide through LinkedIn's data platform.
Benefits include competitive compensation, professional development opportunities, and the chance to work with world-class engineers while contributing to open-source projects. Join LinkedIn's DataHub team to help shape the future of professional data management and discovery.