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 offers an exciting opportunity to work at the intersection of big data and business impact, leveraging data to drive member engagement, business growth, and monetization efforts.

The position combines technical expertise with business acumen, requiring someone who can build scalable data solutions while understanding their impact on business objectives. You'll work in a collaborative environment, partnering with cross-functional teams including product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools that enable data-driven decision-making.

As a Staff Data Engineer, 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 exposure to cutting-edge data technologies and the chance to work with very large datasets.

The hybrid work environment provides flexibility while maintaining team culture and collaboration. LinkedIn offers comprehensive benefits including health and wellness programs, competitive compensation with annual performance bonuses, and equity compensation. The company's commitment to diversity, inclusion, and creating economic opportunity for every member of the global workforce makes it an inspiring place to grow your career.

This role is perfect for someone who combines strong technical skills with business understanding and wants to make an impact at scale. You'll be part of a high-performing team that values collaboration, innovation, and data-driven decision making.