We are seeking a Staff Data Engineer looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies, including generative AI and large language models. Working across the practices, techniques and tools used for the operational management of large language models in production environments – the Staff Data Engineer role is proper for you if you're a subject matter expert in designing data integration frameworks and pipelines and still love to jump in and be "hands-on" when needed. This team is focused on proving the value of new tech and bringing it to production quickly. You'll have the opportunity to partner with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the businesses. You've come to the right place if you love to take large, disparate data sets and build them into flexible and scalable analytics applications and warehouses. In addition, you are well-versed in designing, building, and supporting APIs, machine learning services and frameworks, LLMs, lang-chain, and foundational data warehousing technologies. Your primary focus will be building reliable, scalable, and efficient pipelines for use in LLMs and crafting our vision for LLM analytics. You will be essential in defining the team's strategy, evaluating, and integrating data patterns and technologies, and building pipelines alongside domain experts and data scientists.