LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed.
As a Staff Data Engineer in the Data Science team at LinkedIn, you will leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization efforts. With over 1 billion members worldwide, you'll have the opportunity to work on complex data systems and make a significant impact.
Key responsibilities include: • Collaborating with cross-functional teams to identify business opportunities and build scalable data solutions • Performing data transformations to serve products that empower data-driven decision making • Designing and implementing performant systems for data flows and applications at massive scale • Ensuring best practices and standards in the data ecosystem • Engaging with internal data platform teams to prototype and validate tools for deriving insights from large datasets
To succeed in this role, you should have: • A Bachelor's degree in a quantitative discipline (e.g., Computer Science, Statistics, Engineering) • 7+ years of relevant industry experience working with large amounts of data • Strong SQL and programming skills (e.g., Python, Java, Scala) • Experience with distributed systems and relational databases • Technical leadership skills
LinkedIn offers a competitive salary range of $147,000 to $240,000 per year, along with generous benefits including health and wellness programs, time off, and opportunities for career growth. Join us to challenge yourself with work that matters and transform your career while contributing to LinkedIn's mission of creating economic opportunities for every member of the global workforce.