Staff Software Engineer, Data Applications

LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer for their Data Applications team. This role sits within the Data Science Technical Foundation team, an engineering group embedded in data science teams responsible for developing robust data applications 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 part of the Flagship Data Science Tech Foundation team, which builds data applications driving innovation and productivity. The team owns diagnostic platforms that query data from various microservices and data stores, processing them to generate insights for AI systems.

As a Staff Software Engineer, you'll collaborate with data scientists, AI teams, Product Managers, and Engineering to tackle diverse projects. These range from building new data applications to enhancing core data science tools for streamlining complex analyses and developing new methodologies. The role requires expertise in programming languages like Python, Java, or Scala, along with experience in RESTful APIs, data visualization, and UX design.

The position offers competitive compensation ranging from $147,000 to $240,000, plus benefits including generous health and wellness programs. LinkedIn's approach to flexible work is hybrid, combining remote work with office presence based on business needs. The company strongly values diversity, inclusion, and creating an environment where everyone feels a sense of belonging.

This is an excellent opportunity for experienced engineers passionate about data applications and interested in working at the intersection of data science and engineering. You'll have the chance to impact LinkedIn's data-centric culture while working with cutting-edge technologies and methodologies in a collaborative environment.