Staff Software Engineer, Data Applications

LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their Data Science Technical Foundation team. This role offers a unique opportunity to work on data applications and tooling that empower data science and cross-functional teams across LinkedIn.

The position is part of an engineering team embedded within data science groups, focusing on developing robust data applications and tooling. You'll work closely with data science partners, AI teams, Product Managers, and Engineering to tackle various projects ranging from building new data applications to enhancing core data science tools.

As a Staff Software Engineer, you'll be responsible for the Flagship Data Science Tech Foundation team, which builds applications driving innovation and productivity. The team provides engineering foundation for state-of-the-art data science methodologies and owns diagnostic platforms that query data from various microservices and data stores. You'll also work on platforms providing causal inference capabilities to the entire Data Science organization.

The role offers a hybrid work arrangement, combining remote work with office presence based on team needs. LinkedIn provides comprehensive benefits including health and wellness programs, equity, and annual performance bonuses. The compensation range is $147,000 to $240,000, reflecting LinkedIn's commitment to fair and equitable compensation.

This position requires 5+ years of industry experience and strong technical skills in languages like Python, Java, or Scala. You'll need experience with data products, SQL databases, and building data science platforms. The ideal candidate will have excellent communication skills and the ability to work effectively with cross-functional teams.

LinkedIn's culture emphasizes trust, connection, and clarity, making it an ideal environment for professionals seeking to make an impact while working with cutting-edge data technologies. The company's vision of creating economic opportunity for every member of the global workforce drives their investment in talent and support for career growth.