Lead Data Pipeline Engineer

The Lead Data Pipeline Engineer will develop and enhance high-volume data pipelines where data is enriched using ML and NLP functionality, and then used to feed additional machine learning and data science; integrate models that data science creates into applications that are fast and scalable; build and enhance user-facing applications that use generative AI and LLMs to help customers gain insights from data faster; operate in a collaborative, agile environment, with a focus on taking action and working closely with peers to enable team success; create proofs-of-concept and prototypes to quickly test ideas, as well as designing and building scalable, production-ready solutions; consider security best practices at every phase of software development; continuously learn and improve; work in a fully remote team with a diverse set of skills and experiences; independently identify and solve problems, and question assumptions in pursuit of the right solutions; actively participate in the peer code review process; create and execute both manual and automated testing; manage a small team of data pipeline engineers.