Staff Software Engineer, Data Science

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 to empower data science and cross-functional teams.

The position offers a unique opportunity to work end-to-end on new initiatives and build data solutions from the ground up. You'll be working in a hybrid environment, combining remote work flexibility with in-office collaboration when needed. The role involves close collaboration with data science partners and cross-functional stakeholders, including AI teams, Product Managers, and Engineering teams.

As a Staff Software Engineer, you'll be instrumental in developing and implementing complex data foundations and generalized tools, while also streamlining analyses and developing new methodologies. The role requires expertise in programming languages like Python, Java, or Scala, strong SQL knowledge, and experience with data pipeline systems and Spark.

The compensation package is highly competitive, ranging from $147,000 to $240,000 annually, plus additional benefits including comprehensive healthcare, 401(k), stock options, and performance bonuses. LinkedIn offers a culture that strongly emphasizes work-life balance, professional growth, and inclusive practices.

This is an excellent opportunity for experienced engineers who want to impact how data science is practiced at scale, working with cutting-edge technologies and contributing to solutions that serve LinkedIn's massive global user base. The role combines technical leadership with hands-on development, making it ideal for those who want to shape the future of data science tools while working with some of the industry's largest datasets.