LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Software Engineer to join their Data Science team. This role is part of the technical foundation team, an engineering group embedded within data science teams responsible for developing robust data foundations and tooling.
The position offers a unique opportunity to work on end-to-end initiatives and build data solutions from the ground up. You'll be working in a hybrid environment, allowing flexibility between remote work and office presence. The role combines technical expertise with cross-functional collaboration, requiring interaction with AI teams, Product Managers, and Engineering teams.
As a Staff Software Engineer, you'll be instrumental in developing data foundations and generalized tools that empower the data science team and cross-functional partners. The role involves working with large datasets, building scalable solutions, and establishing best practices for the data ecosystem.
Key technical requirements include expertise in SQL, programming languages (preferably Python, Java, or Scala), and experience with data pipeline systems and Spark. The position offers competitive compensation ($147,000 - $240,000) and comprehensive benefits including health coverage, 401(k), and performance bonuses.
This role is perfect for someone who combines strong technical skills with the ability to collaborate across teams and drive innovation in data engineering. You'll be part of LinkedIn's mission to create economic opportunity for every member of the global workforce while working in an environment that values diversity, inclusion, and career growth.
The position offers the opportunity to work with cutting-edge technologies, handle large-scale data challenges, and make a significant impact on LinkedIn's data infrastructure. If you're passionate about data engineering, enjoy solving complex problems, and want to work in a collaborative environment that promotes innovation, this role provides an excellent opportunity to advance your career while contributing to meaningful projects.