LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer for their Data Science team. This role is part of the technical foundation team, an engineering group embedded within data science teams responsible for developing robust data foundations and tooling. The position offers a hybrid work arrangement, allowing flexibility between remote work and office presence.
The role involves working closely with data science partners and cross-functional stakeholders, including AI, Product Managers, and Engineering teams. You'll be tackling diverse projects ranging from building data foundations to developing generalized tools and streamlining complex analyses. This unique position offers the opportunity to work end-to-end on new initiatives and build data solutions from the ground up.
As a Staff Software Engineer, you'll be working with large-scale data systems, utilizing technologies like Python, Java, Scala, and SQL. The role requires expertise in data pipeline systems, Spark, and distributed systems. You'll be responsible for establishing design patterns, working with cross-functional partners, and contributing to engineering innovations that advance LinkedIn's mission of creating economic opportunity for every member of the global workforce.
The position offers competitive compensation ranging from $147,000 to $240,000 annually, plus additional benefits including health coverage, 401(k), stock options, and performance bonuses. LinkedIn's culture strongly emphasizes work-life balance, professional growth, and creating an inclusive environment where everyone feels a sense of belonging.
This is an excellent opportunity for experienced engineers who want to make a significant impact on a platform serving over 1 billion members globally. The role combines technical leadership, data engineering, and the chance to work on challenging problems at scale while contributing to LinkedIn's mission of connecting the world's professionals.