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 data-driven decisions that shape member engagement and business growth.

The position requires a blend of technical expertise and business acumen, working in a hybrid environment that combines remote work with office presence. As a Staff Data Engineer, you'll be instrumental in developing infrastructure and tools that enable data-driven decision-making across LinkedIn's extensive platform.

Your responsibilities will span working with high-performing data science professionals and cross-functional teams, building scalable data solutions, and establishing efficient design patterns. You'll be handling massive-scale data transformations and ensuring best practices are maintained across the data ecosystem.

The ideal candidate brings 4+ years of experience working with large datasets, strong programming skills (particularly in languages like Java, Python, or Scala), and expertise with SQL and relational databases. A bachelor's degree in a quantitative field is required, though advanced degrees are preferred.

LinkedIn offers a competitive compensation package ranging from $147,000 to $240,000 annually, plus additional benefits including health and wellness programs, equity, and annual performance bonuses. The company's commitment to creating economic opportunity for every member of the global workforce, combined with its data-centric culture, makes this an ideal position for someone looking to make a significant impact while advancing their career in data engineering.