Staff Software Engineer, Data Science

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, allowing flexibility between remote work and office presence. With a competitive salary range of $147,000 to $240,000 per year, plus additional benefits including performance bonuses and stock options, this role presents an excellent opportunity for experienced engineers.

The ideal candidate will have at least 5 years of industry experience, with strong expertise in data engineering and programming languages such as Python, Java, and Scala. You'll work on building data foundations, developing generalized tools, and streamlining complex analyses, while collaborating with cross-functional teams including AI, Product Managers, and Engineering.

Key responsibilities include prototyping and validating tools for large datasets, establishing efficient design patterns, and contributing to engineering innovations. The role requires expertise in SQL, distributed systems, and data pipeline authoring systems like Airflow or Flyte.

LinkedIn offers a comprehensive benefits package including medical, dental, and vision insurance, 401k, parental leave, and commuter benefits. The company culture strongly emphasizes work-life balance and professional growth, making it an ideal environment for talented engineers looking to make an impact at scale.

This position offers unique opportunities to work end-to-end on new initiatives and build data solutions from the ground up, directly contributing to LinkedIn's mission of creating economic opportunity for every member of the global workforce. The role combines technical expertise with strategic thinking, requiring someone who can both architect complex systems and communicate effectively with various stakeholders.