CVS Health - New York, NY
posted about 2 months ago
As an Associate Data Engineer in Analytics Engineering at CVS Health, you will play a crucial role in transforming health care through data-driven insights. Your primary responsibilities will include writing ETL (Extract/Transform/Load) processes, designing database systems, and developing tools for both real-time and offline analytic processing. You will be involved in the technical efforts to design, build, and deploy applications on Google Cloud Platform (GCP), focusing on large-scale data processing and advanced analytics. This position requires participation in all aspects of the software development life cycle for GCP solutions, including planning, requirements gathering, development, testing, and quality assurance. You will utilize your programming skills in languages such as Python and SQL to build knowledge in cloud architecture and optimize queries for data pipelines. Collaboration with data science teams will be essential as you work to transform data and integrate algorithms into automated processes. You will also be responsible for integrating data from various sources while ensuring adherence to data quality and accessibility standards. Troubleshooting incidents, identifying root causes, and implementing preventive measures will be part of your daily tasks, ensuring the reliability and efficiency of data processes. CVS Health is committed to making health care more personal, convenient, and affordable, and as part of the Analytics & Behavior Change team, you will contribute to this mission by leveraging data to drive meaningful change across the organization. This role offers the opportunity to work in a dynamic environment that feels like a startup within a large company, where innovation and problem-solving are highly valued.