Staff Data Engineer - Data Science

LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Data Engineer to join their Data Science team. This role represents an exceptional opportunity to work at the intersection of big data and business impact, helping drive data-driven decisions that affect millions of professionals worldwide.

The position involves working with massive datasets to empower business decisions and deliver data-driven insights, metrics, and tools that drive member engagement, business growth, and monetization efforts. As a Staff Data Engineer, you'll collaborate with cross-functional teams including product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools that enable data-driven decision-making.

The ideal candidate will combine technical expertise with business acumen, bringing a passion for making an impact by enabling both producers and consumers of data insight to work more effectively. You'll be responsible for designing and implementing performant systems for data flows at massive scale, establishing efficient programming patterns, and ensuring best practices across the data ecosystem.

The role offers a hybrid work arrangement, balancing remote work with in-office collaboration. LinkedIn's approach to flexible work is centered on trust and optimized for culture, connection, and clarity. The compensation package is highly competitive, ranging from $147,000 to $240,000 annually, plus benefits including health programs, performance bonuses, and equity opportunities.

This position requires a bachelor's degree in a quantitative field and significant experience with data engineering, but more importantly, it needs someone who can think strategically about data infrastructure while maintaining a strong focus on business impact. You'll be joining a high-performing team that values collaboration, innovation, and the opportunity to make a meaningful impact on how professionals worldwide connect and grow their careers.

If you're passionate about working with large-scale data systems and want to contribute to LinkedIn's mission of creating economic opportunity for every member of the global workforce, this role offers an excellent opportunity to make a significant impact while advancing your career in data engineering.