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 an exciting 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 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, managing data pipelines, and establishing efficient programming patterns. The role requires expertise in SQL, programming languages like Python or Java, and experience with distributed data systems such as Spark.

The position offers competitive compensation ($121,000-$198,000), along with comprehensive benefits including equity, health coverage, and a hybrid work environment. You'll be part of a high-performing team that values collaboration, innovation, and professional growth.

LinkedIn's unique position as both a B2B and B2C platform provides countless opportunities to make an impact. The company's data-centric culture and massive scale offer exciting challenges for ambitious data professionals. You'll work with cutting-edge technologies and have the chance to influence products used by professionals worldwide.

The ideal candidate brings 3+ years of experience working with large-scale data, strong technical skills, and the ability to translate complex technical concepts into business value. You'll need to be a self-starter who can drive projects to completion while maintaining high standards for data quality and system performance.

This role offers the opportunity to work on meaningful problems at scale, with access to one of the world's largest professional datasets. You'll be supported by a culture that values diversity, professional growth, and work-life balance, with the flexibility of hybrid work arrangements.

Join LinkedIn's Data Science team to help shape the future of professional networking while working with talented colleagues who are passionate about using data to create economic opportunity for every member of the global workforce.