The Staff Data Engineer will join the Value Added Services Digital Marketing & Engagement organization to design, enhance, and build a data token platform. The role involves leading full-stack development projects for real-time scoring services, RESTful APIs, and distributed container-based services. Responsibilities include architecting secure and scalable solutions while driving innovation to accelerate product delivery. The engineer will spearhead the development of software incorporating machine learning and deep learning technologies. Additionally, the position requires mentoring team members, fostering mutual accountability, and collaborating with cross-functional teams to meet business requirements.

Candidates must possess at least 5 years of relevant work experience with a Bachelor’s degree, 2 years with an Advanced degree, or a PhD. The role requires demonstrated leadership in delivering large-scale enterprise applications and expertise in big data engineering. Proficiency in Java, REST APIs, and container technologies is essential. Applicants must also have experience in creating data pipelines and productizing machine learning models.