Staff Data Engineer - Data Science

LinkedIn, the world's largest professional network with over 1 billion members, 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 cross-functional teams to develop infrastructure and deliver tools that enable data-driven decision-making. You'll be part of a high-performing team that handles massive-scale data operations and transforms complex data into actionable insights.

As a Staff Data Engineer, you'll be responsible for designing and implementing performant systems for data flows, establishing efficient programming patterns, and ensuring best practices across the data ecosystem. The role requires expertise in SQL, programming languages like Python or Java, and experience with large-scale data operations.

The hybrid work environment offers flexibility to work both remotely and from LinkedIn offices. The compensation package is competitive, ranging from $147,000 to $240,000 annually, plus benefits including health programs, equity, and performance bonuses.

This is an excellent opportunity for a seasoned data professional who wants to impact how over 1 billion members worldwide connect, learn, and grow professionally. You'll work with cutting-edge technology and collaborate with talented teams while contributing to LinkedIn's mission of creating economic opportunity for every member of the global workforce.

The ideal candidate will have 4+ years of experience working with large datasets, strong programming skills, and the ability to translate complex business requirements into technical solutions. If you're passionate about data engineering and want to work on problems that affect millions of users, this role offers the perfect platform to advance your career while making a meaningful impact.