Senior Data Engineer - Data Science

LinkedIn, the world's largest professional network, is seeking a Senior Data Engineer to join their Data Science team. This role offers an exciting opportunity to work with big data and drive impactful decisions across a platform with over 1 billion members worldwide. The position combines technical expertise with business acumen, focusing on developing infrastructure and tools that enable data-driven decision-making.

As a Senior Data Engineer, you'll collaborate with cross-functional teams including product, marketing, sales, engineering, and operations. You'll be responsible for building and managing complex data systems, designing efficient data pipelines, and implementing performant solutions that scale. The role requires expertise in SQL, programming languages like Python/Java/Scala, and experience with large-scale data processing.

The position offers a hybrid work environment, allowing flexibility between remote work and office presence. LinkedIn provides comprehensive benefits including health and wellness programs, competitive compensation ($121,000-$198,000), and opportunities for career growth. The company's data-centric culture and global impact make this an ideal role for someone passionate about using data to drive business decisions.

Key responsibilities include developing data infrastructure, establishing best practices, and working with cutting-edge technologies to process massive datasets. You'll have the opportunity to influence product decisions through data insights while working alongside talented professionals in a collaborative environment. The role requires both technical expertise and the ability to communicate effectively with various stakeholders.

LinkedIn's commitment to creating economic opportunity for every member of the global workforce makes this role particularly meaningful. You'll be part of a team that directly impacts how millions of professionals connect, discover opportunities, and advance their careers. The position offers the perfect blend of technical challenges, business impact, and professional growth opportunities.