CVS Health - Downers Grove, IL
posted 3 months ago
As a Senior Manager in Data Engineering for the Analytics and Behavioral Change team at CVS Health, you will play a pivotal role in managing and leading teams that work with vast amounts of retail and healthcare data. Your primary responsibility will be to develop data applications in collaboration with Data Science and Data Engineering leaders, ensuring that analytics processes are efficient, insightful, and timely. You will leverage standardized tools and methodologies to enhance the speed and quality of analytics, designing highly scalable cloud data platforms that facilitate the collection, storage, modeling, and analysis of massive datasets from various channels. In this role, you will assess business requirements and provide recommendations on the appropriate timing and deployment of data solutions. You will adopt a DevOps mindset to enable big data and analytical solutions that utilize emerging technologies. Your creativity will be essential in collecting, parsing, managing, and automating data feedback loops to support business innovation. You will also identify opportunities to streamline data engineering processes, improve efficiency, and enhance the quality of deliverables. As a leader, you will provide guidance and mentorship to junior data engineers, helping them develop their technical skills and grow in their roles. Your experience in managing engineering teams will be crucial as you oversee project delivery, set coding standards, and perform code reviews. You will work in a collaborative environment, aligning with cross-functional teams to achieve deliverable outcomes and ensure the success of complex data projects.