Staff Software Engineer, Data Science

LinkedIn, the world's largest professional network with over 1 billion members globally, 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 arrangement, allowing flexibility between remote work and office presence at LinkedIn's Sunnyvale location. As a Staff Software Engineer, you'll work closely with data science partners and cross-functional stakeholders, including AI, Product Managers, and Engineering teams.

The role presents a unique opportunity to work end-to-end on new initiatives and build data solutions from the ground up. You'll be responsible for prototyping and validating tools for large dataset analysis, establishing design patterns, and ensuring best practices across teams. The position 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 competitive, ranging from $147,000 to $240,000 annually, complemented by comprehensive benefits including health coverage, 401(k), parental leave, and educational assistance. LinkedIn offers a culture focused on employee well-being and professional growth, with opportunities to impact their mission of creating economic opportunity for every member of the global workforce.

This role is ideal for experienced engineers passionate about data science, who excel in collaborative environments and want to contribute to LinkedIn's data-centric culture. The position requires both technical expertise and strong communication skills, as you'll be working with various stakeholders to drive data-driven decision-making across the organization.