Senior Data Engineer

On the Data Engineering team we transform streams of data into insights that solve real world Pharmacy Benefits Management challenges.  How?  By leveraging LLMs where appropriate, to empower our Data Analytics and Machine Learning teams so that drug pricing is transparent and easy to understand.  We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data.  We leverage a collection of open source tools like Airflow and DBT built on top of industry leading data warehouses and use Python in our daily work. Design and implement scalable, performant data models to deliver rapid insights into drivers of drug prices and cost-savings opportunities. Develop and optimize processes to improve the correctness and usability of 3rd party data. Implement data quality principles to raise the bar for reliability of data shared internally and externally. Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance. Apply AI best practices to document data engineering processes, data models. Be a role model and mentor to junior team members by providing technical guidance and support.