LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer, Data to join their technical foundation team. This role is embedded within data science groups and focuses on developing robust data foundations and tooling to empower the data science team and cross-functional partners.
The position offers a hybrid work environment, allowing flexibility between remote work and office presence. As a Staff Software Engineer, you'll work closely with data science partners, AI teams, Product Managers, and Engineering to tackle diverse projects ranging from building data foundations to developing new methodologies.
The role requires strong technical expertise in data engineering, with experience in SQL, Python, Java, or Scala, and familiarity with Spark and distributed systems. You'll be responsible for prototyping tools, building scalable data solutions, and establishing best practices across teams.
LinkedIn offers competitive compensation ($147,000-$240,000) and comprehensive benefits including health coverage, 401k, parental leave, and stock options. The company strongly values diversity and inclusion, providing equal opportunities to all candidates.
This is an excellent opportunity for experienced engineers passionate about data infrastructure to make a significant impact at scale. You'll be working with cutting-edge technologies and contributing to LinkedIn's mission of creating economic opportunity for every member of the global workforce.
The role offers unique challenges in handling large-scale data systems and the chance to work with a billion-member dataset. You'll be part of a team that values innovation, collaboration, and technical excellence, while enjoying the benefits of working for a leading tech company with a strong focus on employee well-being and professional growth.