Senior Software Engineer, Data Science

LinkedIn, the world's largest professional network with over 800 million members, is seeking a Senior Software Engineer for their Data Science team. This role combines technical expertise with business impact, focusing on leveraging big data to drive member engagement and business growth.

The position offers a hybrid work environment, allowing flexibility between remote work and office collaboration. As a Senior Software Engineer, you'll be at the intersection of data engineering and business strategy, working with cross-functional teams to develop infrastructure and deliver tools that enable data-driven decision-making.

Your responsibilities will span from building and managing complex data systems to establishing efficient design patterns and best practices. You'll work with massive datasets, design data pipelines, and architect databases that power LinkedIn's data-centric culture. The role requires both technical depth in data engineering and the ability to collaborate with various stakeholders including product, marketing, sales, and operations teams.

Key technical requirements include 5+ years of experience working with large datasets, proficiency in SQL and programming languages like Python, Java, or Scala, and familiarity with distributed data systems such as Hadoop. Experience with data visualization tools and ETL concepts is highly valued.

This is an opportunity to join a company that's transforming the professional world through data-driven insights. You'll be part of a team that values innovation, collaboration, and impact, while working on systems that affect millions of users globally. LinkedIn offers career growth opportunities, professional development, and a culture that emphasizes trust and flexibility.