Senior Data Engineer - Data Science

LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Senior Data Engineer to join their Data Science team. This role offers a unique opportunity to work at the intersection of big data and business impact, leveraging data to drive member engagement and business growth.

The position combines technical expertise with business acumen, requiring someone who can build and manage complex data systems while collaborating with cross-functional teams. You'll be responsible for developing infrastructure and delivering tools that enable data-driven decision-making across the organization.

As a Senior Data Engineer, you'll work with cutting-edge technologies and handle massive-scale data operations. The role involves building data pipelines, designing databases, and implementing efficient data transformation processes. You'll have the opportunity to work with technologies like Spark, Hive, and various programming languages.

The ideal candidate will have a strong foundation in data engineering principles, experience with SQL and programming languages, and the ability to work independently while collaborating effectively with teams. LinkedIn offers a flexible hybrid work environment, competitive compensation, and comprehensive benefits including health coverage and equity.

This role presents an excellent opportunity to make a significant impact at a company that's shaping the future of professional networking and career development. You'll be part of a team that values innovation, collaboration, and data-driven solutions, while enjoying the benefits of working for a leading tech company with a strong focus on employee growth and well-being.