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, metrics, and tools that drive member engagement, business growth, and monetization efforts. With over 1 billion members globally, the position promises significant impact potential.

The role combines technical expertise with business acumen, requiring collaboration with cross-functional teams including product, marketing, sales, engineering, and operations. The successful candidate will develop infrastructure and deliver tools that enable data-driven decision-making across the organization. They will work with massive datasets, implement scalable solutions, and contribute to LinkedIn's data-centric culture.

Key responsibilities include managing complex data systems, performing data transformations, establishing efficient design patterns, and ensuring best practices in the data ecosystem. The position requires expertise in SQL, programming languages like Python or Java, and experience with large-scale data processing.

The role offers competitive compensation ($147,000-$240,000), comprehensive benefits including health programs, performance bonuses, and stock options. LinkedIn provides a hybrid work environment, combining remote work flexibility with office collaboration opportunities. This position represents an excellent opportunity for experienced data professionals to make a significant impact at a leading tech company while advancing their career in data engineering.