Staff Software Engineer - Data Applications

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 Software Engineer - Data Applications at LinkedIn, you will be responsible for guiding and building the applications that empower our Data Scientists. This is a unique opportunity to work end-to-end on 0 to 1 efforts as opposed to just incremental features of large established products. You will work with a team of high-performing data science professionals and cross-functional teams to identify business opportunities and build scalable data solutions.

Key Responsibilities: • Establish efficient design and programming patterns for engineers and non-technical partners • Build web applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently • Lead the architecture and design of both front-end and back-end for novel data applications • Own the application development for one or more internal products • Collaborate with engineers, data scientists, and product managers to launch new products and iterate on existing features • Engage with internal data platform teams to prototype and validate tools for deriving insights from large datasets • Contribute to engineering innovations that fuel LinkedIn's vision and mission

Required Qualifications: • Bachelor's Degree in a quantitative discipline (Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.) • 5+ years of industry experience

Preferred Qualifications: • Experience writing RESTful APIs with modern frameworks (Spring/Flask) • 7+ years of relevant work experience • MS or PhD in Computer Science or related technical discipline • Experience with data products and basic statistics • Experience creating data visualizations and UX design • Experience building data science or machine learning platforms • Familiarity with source control, testing frameworks, and all aspects of developing in large, distributed software teams • Excellent communication skills

This role offers a hybrid work option, allowing you to work from home and commute to a LinkedIn office as needed. Join us to challenge yourself with work that matters and be part of our data-centric culture!