Staff Data Engineer - Data Science

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 900 million members worldwide, you'll have the opportunity to make a significant impact and transform your career.

Key Responsibilities:

• Work with high-performing data science professionals and cross-functional teams to identify business opportunities and build scalable data solutions.
• Build data expertise and manage complex data systems for products or product groups.
• Perform data transformations to serve products that empower data-driven decision making.
• Establish efficient design and programming patterns for engineers and non-technical partners.
• Design, implement, integrate, and document performant systems for data flows and applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Engage with internal data platform teams to prototype and validate tools for deriving insights from large datasets or automating complex algorithms.
• 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.)
• 4+ years of relevant industry or academia experience working with large amounts of data
• Experience with SQL/Relational databases
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)

Preferred Qualifications:

• MS or PhD in a quantitative discipline
• 7+ years of relevant work experience (for BS holders), 5+ years (for MS holders), or 3+ years (for PhD holders)

This role offers a hybrid work option, allowing you to work from home and commute to a LinkedIn office as needed. LinkedIn provides generous health and wellness programs, time away for employees, and a culture that strongly believes in the well-being of its employees and their families.