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, helping drive member engagement and business growth through data-driven insights.

The position combines technical expertise with business acumen, requiring someone who can build and manage complex data systems while understanding their strategic importance. You'll work in a hybrid environment, collaborating with cross-functional teams including product, marketing, sales, and engineering to develop infrastructure and deliver tools that enable data-driven decision-making.

As a Senior Data Engineer, you'll be responsible for designing and implementing performant systems for data flows at massive scale, building and managing data pipelines, and establishing efficient design patterns. The role requires expertise in SQL, programming languages like Python/Java/Scala, and experience with distributed data systems such as Spark and Hive.

The ideal candidate will have 3+ years of experience working with large datasets, a strong foundation in data modeling and ETL concepts, and the ability to drive projects independently. You'll be joining a high-performing team where you can make significant contributions to LinkedIn's data-centric culture and help shape the future of professional networking.

LinkedIn offers competitive compensation including base salary, annual bonus, and equity, along with comprehensive benefits. The company's commitment to work-life balance is reflected in their hybrid work model, allowing flexibility between remote work and office collaboration. This role provides an excellent opportunity to work with cutting-edge technology while making a meaningful impact on how professionals connect and grow their careers worldwide.