Staff Software Engineer, Data Engineering

LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer for their Data Engineering team. This role offers a unique opportunity to work at the intersection of big data and professional networking, serving over 800 million members worldwide. The position combines technical leadership with hands-on development, focusing on building scalable data solutions that drive business decisions and member engagement.

The role requires expertise in data engineering, with responsibilities ranging from designing and implementing data pipelines to establishing best practices for the entire data ecosystem. You'll work closely with cross-functional teams including product, marketing, sales, and engineering to develop infrastructure and deliver tools that enable data-driven decision-making.

As a Staff Software Engineer, you'll be expected to lead technical initiatives, mentor team members, and contribute to LinkedIn's data-centric culture. The position offers exposure to massive-scale data operations and the chance to work with cutting-edge technologies. The hybrid work environment allows for flexibility while maintaining team collaboration and culture.

The ideal candidate will bring 8+ years of experience working with large datasets, strong programming skills, and expertise in data modeling and ETL concepts. You'll have the opportunity to shape LinkedIn's data architecture while working on projects that directly impact millions of users. Benefits include competitive compensation, professional development opportunities, and the chance to work with industry-leading data professionals.