Staff Software Engineer, Data

LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Software Engineer, Data to join their technical foundation team. This role presents a unique opportunity to work at the intersection of data science and engineering, building robust data foundations and tooling that empowers data science teams across the organization.

The position is part of an engineering team embedded within data science groups, responsible for developing data foundations and tooling that enables data-driven decision making across LinkedIn. You'll work in a hybrid environment, combining remote work flexibility with in-office collaboration when needed.

As a Staff Software Engineer, you'll collaborate closely with data scientists, AI teams, Product Managers, and other engineers to tackle diverse projects. Your work will range from building foundational data infrastructure to developing generalized tools and streamlining complex analyses. This end-to-end role allows you to architect and implement data solutions from the ground up.

The ideal candidate brings 5+ years of industry experience, with strong expertise in SQL, Python, Java, or Scala. You should be comfortable working with data pipeline systems, Spark, and distributed systems. Your technical skills should be complemented by excellent communication abilities and a talent for simplifying complex problems for various audiences.

The compensation package is competitive, ranging from $147,000 to $240,000 annually, plus benefits including health coverage, 401(k), parental leave, and stock options. You'll be part of LinkedIn's data-centric culture, working on projects that directly impact the company's mission to create economic opportunity for every member of the global workforce.

This role offers the chance to work with massive datasets, build scalable solutions, and contribute to engineering innovations that shape the future of professional networking. If you're passionate about data engineering and want to make an impact at global scale, this position offers the perfect blend of technical challenge and professional growth.