Staff Software Engineer, Data

LinkedIn is seeking a Staff Software Engineer, Data to join their technical foundation team within the Data Science organization. This role offers a unique opportunity to work with LinkedIn's massive dataset of over 1 billion global members. The position involves developing robust data foundations and tooling to empower data science and cross-functional teams.

The role combines technical leadership with hands-on development, focusing on building scalable data solutions and applications. You'll work closely with data scientists, AI teams, product managers, and engineers to tackle various projects ranging from building data foundations to developing generalized tools and streamlining complex analyses.

Key responsibilities include prototyping and validating tools for large dataset analysis, establishing efficient design patterns, and ensuring best practices across the data ecosystem. The ideal candidate should have strong programming skills (particularly in Python, Java, or Scala), extensive experience with SQL/relational databases, and familiarity with data pipeline systems like Airflow or Flyte.

This hybrid position offers the flexibility to work both remotely and in-office, with competitive compensation ranging from $147,000 to $240,000 annually. LinkedIn provides comprehensive benefits including health coverage, 401(k), and parental leave. The company's culture emphasizes well-being, professional growth, and creating an inclusive environment where everyone can thrive.

Join LinkedIn to help shape the future of professional networking while working with cutting-edge data technologies and contributing to meaningful projects that impact millions of users globally.