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 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 the ability to work with massive datasets while collaborating with cross-functional teams including product, marketing, sales, and engineering. As a Staff Data Engineer, you'll be responsible for building scalable data solutions, establishing efficient design patterns, and ensuring best practices across the data ecosystem.

The role offers a hybrid work environment, allowing flexibility between remote work and office presence. You'll be part of LinkedIn's data-centric culture, working with high-performing data science professionals to identify business opportunities and implement solutions that power analysis at scale.

Key responsibilities include designing and implementing performant systems for data flows, performing complex data transformations, and engaging with internal platform teams to prototype and validate tools. The ideal candidate will have 4+ years of experience working with large datasets, strong SQL skills, and programming expertise in languages like Python or Java.

This position offers competitive compensation ($147,000-$240,000/year) along with comprehensive benefits including health and wellness programs, equity, and annual performance bonuses. Join LinkedIn to be part of a team that's transforming how professionals connect and grow while working with cutting-edge data technologies and making a significant impact on the global workforce.