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 end-to-end on new initiatives and build data solutions from the ground up. You'll be working with 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 behind AI systems.

As a Staff Software Engineer, you'll collaborate closely 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 strong technical expertise in data engineering and software development, with experience in languages like Python, Java, or Scala. You'll need to demonstrate proficiency in RESTful APIs, data visualization, and UX design. The ideal candidate will have 7+ years of relevant experience and excellent communication skills.

LinkedIn offers a hybrid work environment, competitive compensation ($147,000 - $240,000), and comprehensive benefits. The company strongly believes in creating an inclusive workplace where everyone can achieve their potential. Join LinkedIn to work on challenging problems at scale while contributing to their mission of creating economic opportunity for every member of the global workforce.