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 represents an exceptional 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 involves working with massive datasets to empower business decisions and deliver data-driven insights, metrics, and tools. As a Staff Data Engineer, you'll collaborate closely with cross-functional teams including product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools that enable data-driven decision-making.

The role requires a blend of technical expertise and business acumen. You'll be responsible for designing and implementing performant systems for data flows at massive scale, establishing efficient design patterns, and ensuring best practices across the data ecosystem. The work involves complex data transformations and close collaboration with internal platform teams to prototype and validate tools for large-scale data analysis.

This is a hybrid position, combining remote work with in-office collaboration at LinkedIn's facilities. The company offers a comprehensive benefits package including competitive base pay ($147,000-$240,000), health and wellness programs, equity compensation, and annual performance bonuses.

The ideal candidate will have 4+ years of experience working with large datasets, strong SQL skills, and programming expertise in languages like Python, Java, or Scala. A background in quantitative disciplines such as Computer Science, Statistics, or Operations Research is required. This role offers the opportunity to make a significant impact at scale while working with cutting-edge data technologies and a talented team of professionals.