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 a unique opportunity to work with big data to empower business decisions and deliver data-driven insights that drive member engagement and business growth. With over 1 billion members globally, you'll have the chance to make a significant impact while working with cutting-edge technology and data at scale.

The position combines technical expertise with business acumen, requiring collaboration with cross-functional teams including product, marketing, sales, engineering, and operations. You'll be responsible for developing infrastructure and delivering tools that enable data-driven decision-making across the organization. The role offers a hybrid work arrangement, providing flexibility to work both remotely and from LinkedIn offices.

As a Staff Data Engineer, you'll be tasked with building scalable data solutions, managing complex data systems, and establishing efficient design patterns for both technical and non-technical partners. You'll work with massive datasets, implement performant systems for data flows, and ensure best practices across the data ecosystem. The role requires expertise in SQL, programming languages like Python or Java, and experience with large-scale data processing.

LinkedIn offers competitive compensation, including a base salary range of $147,000 to $240,000, plus additional benefits such as annual performance bonuses, equity compensation, and comprehensive health and wellness programs. The company culture strongly emphasizes work-life balance, professional growth, and creating an inclusive environment where everyone can thrive.

This is an excellent opportunity for an experienced data professional who wants to work with one of the world's leading professional networks, contribute to meaningful projects, and help shape the future of how professionals connect and grow their careers.