Staff Data Engineer - Data Science

LinkedIn, the world's largest professional network, is seeking a Staff Data Engineer to join their Data Science team. This role offers an exceptional opportunity to work with big data at massive scale, serving over 1 billion members globally. The position combines technical expertise with business impact, focusing on enabling data-driven decision making across the organization.

The role requires a blend of technical prowess and business acumen, working at the intersection of data engineering and data science. You'll be responsible for building scalable data solutions that power LinkedIn's analytics and decision-making processes. The position offers exposure to various aspects of the business, from product and marketing to sales and operations.

As a Staff Data Engineer, you'll be working in a hybrid environment, collaborating with high-performing data science professionals and cross-functional teams. The role involves designing and implementing performant systems for data flows at massive scale, establishing efficient design patterns, and ensuring best practices across the data ecosystem.

The compensation package is competitive, ranging from $147,000 to $240,000 annually, plus additional benefits including stock options and performance bonuses. LinkedIn offers a strong culture focused on member value and professional growth, with opportunities to work on challenging problems that impact millions of users.

The ideal candidate will have significant experience with large-scale data systems, strong programming skills, and the ability to translate complex business requirements into technical solutions. This role offers the chance to shape the future of professional networking while working with cutting-edge data technologies and practices.