AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin. Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making. The Enterprise Data Engineer partners with cross-functional teams and stakeholders to translate business requirements into scalable data solutions. This role is responsible for uncovering the underlying needs behind feature requests and recommending effective technical approaches. The engineer designs, builds, and optimizes data pipelines and integrations that enable reliable analytics and decision-making. In addition, they collaborate with technical teams to deliver projects, provide ongoing support, and work with leadership to streamline data processes and develop procedures that enhance business outcomes.