Staff Software Engineer, Data

LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Software Engineer to join 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. As a Staff Software Engineer, you'll be working with cutting-edge technologies and large-scale data systems, contributing to both B2B and B2C programs.

The role presents a unique opportunity to work end-to-end on new initiatives and build data solutions from the ground up. You'll collaborate with data science partners and cross-functional stakeholders, including AI teams, Product Managers, and Engineering teams. Your work will directly impact LinkedIn's data-centric culture and help drive member engagement, business growth, and monetization efforts.

Key technical requirements include expertise in SQL, Python, Java, or Scala, along with experience in data pipeline systems and Spark. You'll be working with distributed systems and modern development tools, applying your skills to prototype and validate tools for large datasets.

The compensation package is competitive, ranging from $147,000 to $240,000 annually, plus performance bonus and stock benefits. LinkedIn offers comprehensive benefits including health coverage, 401(k), and parental leave, demonstrating their commitment to employee well-being.

This role is perfect for someone who enjoys working with large-scale data systems, has strong technical skills, and wants to make an impact at a company that connects professionals worldwide. You'll be part of a team that values innovation, collaboration, and data-driven decision-making, while having the opportunity to shape the future of professional networking.