LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer for 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 hybrid work environment, combining remote work with office presence when needed.
The role involves working closely with data science partners and cross-functional stakeholders, including AI teams, Product Managers, and Engineering teams. You'll be tackling various projects ranging from building data foundations to developing generalized tools and streamlining complex analyses. This unique position allows you to work end-to-end on new initiatives and build data solutions from the ground up.
The ideal candidate should have at least 5 years of industry experience, with strong expertise in SQL and programming languages like Python, Java, or Scala. Knowledge of data pipeline systems, Spark, and distributed systems is crucial. You'll be working with large datasets, developing tools for insight derivation, and establishing best practices across teams.
LinkedIn offers a comprehensive benefits package, including competitive salary ($147,000-$240,000), health and wellness programs, 401(k), parental leave, and educational assistance. The company is committed to diversity and inclusion, providing equal opportunities for all candidates.
This role presents an exciting opportunity to impact LinkedIn's data-centric culture, working with over 1 billion members globally, and contributing to both B2B and B2C programs. You'll be part of a team that drives member engagement, business growth, and monetization efforts through data-driven insights and tools.