LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Software Engineer for their Data Science team. This role offers a unique opportunity to work at the intersection of big data and business impact, leveraging data to drive member engagement and business growth.
The position is part of the technical foundation team, an engineering group embedded within data science teams. You'll be responsible for developing robust data foundations and tooling that empowers both data scientists and cross-functional teams. This role offers the exciting opportunity to work end-to-end on new initiatives and build data solutions from the ground up.
As a Staff Software Engineer, you'll collaborate with data scientists, AI teams, Product Managers, and Engineering to tackle diverse projects. Your work will range from building data foundations and generalized tools to streamlining complex analyses and developing new methodologies. The role requires expertise in programming languages like Python, Java, or Scala, strong SQL skills, and experience with data pipeline systems and Spark.
LinkedIn offers a hybrid work environment, allowing you to balance remote work with office time based on team needs. The compensation package is competitive, ranging from $147,000 to $240,000 annually, plus benefits including health coverage, 401(k), stock options, and annual performance bonuses.
The ideal candidate will bring 5+ years of relevant experience, strong technical skills, and excellent communication abilities. You'll be joining a company that values diversity, inclusion, and creating economic opportunity for every member of the global workforce. This role offers the chance to impact millions of professionals worldwide while working with cutting-edge data technologies and talented teams.
If you're passionate about data engineering, enjoy solving complex problems, and want to contribute to a platform that shapes the future of professional networking, this role offers an exceptional opportunity to advance your career while making a meaningful impact.