Staff Software Engineer, Data Engineering

LinkedIn is seeking a Staff Software Engineer, Data Engineering to join their Trust team, focusing on leveraging big data to create a trusted and safe platform. With over 800 million members globally, this role offers a unique opportunity to impact professional networking at scale.

The position requires a technical leader who will work within the Trust Data Engineering and Platform team. You'll collaborate with cross-functional teams including product, engineering, and operations to develop infrastructure and deliver tools that enable data-driven decision-making. The role combines technical expertise with business acumen to make a significant impact on LinkedIn's data ecosystem.

Key responsibilities include managing complex data systems, implementing performant data flows, establishing design patterns, and ensuring best practices across the data ecosystem. You'll work with high-performing data science professionals to identify business opportunities and build scalable solutions.

The ideal candidate brings 8+ years of experience working with large datasets, strong programming skills (Java, Python, SQL), and expertise with modern data technologies like Apache Spark and Presto. A background in quantitative disciplines and experience with data modeling and ETL concepts is essential.

This hybrid role offers the flexibility to work both remotely and from LinkedIn's office, with a strong focus on work-life balance. You'll be part of a company culture that prioritizes employee well-being, offering comprehensive benefits including health programs and generous time off.

Join LinkedIn's mission to transform professional lives through innovative products and technology, while working on challenging data engineering problems that impact millions of users globally. This role provides an excellent opportunity to shape the future of professional networking while advancing your career in data engineering.