Senior Data Engineer

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is looking for a skilled Senior data engineer to join our DevOps team. The ideal candidate will have a strong background in both security and DevOps practices, with a focus on integrating security into the software development lifecycle (SDLC) and design, implement, and maintain security tools and processes for continuous integration and continuous deployment (CI/CD) environments.This role involves close collaboration with development and IT operations teams to implement automation using the latest AI technologies to enhance the performance and add efficiencies. REQUIRED QUALIFICATIONS 5+ years of coding experience using Python with expertise in solution and software development. 5+ years in DevOps/MLOps and a deep understanding of software engineering principles. 5+ years of experience in TensorFlow and PyTorch, with additional cloud platform familiarity (AWS highly preferred). 5+ years of experience with cloud computing environment and management of resources. PREFERRED QUALIFICATIONS Proven ability to manage the production lifecycle of an MLOps pipeline. Deep understanding of model deployment and serving. Experience with orchestration and containerization methodologies. Familiarity with model serving tools such as MLflow, Databricks Serving, SageMaker, etc. (TensorFlow Serving is a plus). Experience implementing CI/CD pipelines for ML projects. Competence in developing automation pipelines (e.g., using GitHub Actions). Proficiency in Infrastructure as Code tools (e.g., Terraform, Databricks Asset Bund...