at Cardinal Health in Boise, Idaho, United States Job Description US-Nationwide- FIELD Full time 20186152 What Data Engineering contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Engineering ensures raw data is usable and accessible for the organization. Data Engineering encompasses numerous specialties of data acquisition, integration, and provisioning. Job Overview As a Data Engineer within the Digital Solutions Finance team, you will design, develop, and maintain robust data pipelines and architecture to support analytical and operational requirements for Finance stakeholders. You will specialize in leveraging Databricks and Google Cloud Platform ( GCP ) to ingest, process, and transform large-scale datasets. This role requires a strong technical foundation in data engineering, cloud-based data warehouses, and collaborative problem-solving to build reliable, scalable, and secure data solutions. Responsibilities + Design, build, and optimize scalable data pipelines using Databricks (Spark/Scala/Python) and GCP services (such as BigQuery, Cloud Storage, and Dataflow). + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality datasets. + Implement data quality checks, monitoring, and alerting mechanisms to ensure the accuracy, completeness, and reliability of data. + Participate in code reviews, technical design discussions, and establish best practices for data engineering within the team. + Perform performance tuning of key processes to optimize processing times and minimize cloud infrastructure costs. + Assist in migrating legacy data workflows to modern cloud platforms. Qualifications + 4-8 years of experience, preferred + Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. + Strong proficiency in SQL and at least one programming language (Python, Scala, or Java). + Hands-on experience developing data solutions using Databricks, preferred + Solid experience working within the Google Cloud Platform ( GCP ) ecosystem, particularly with BigQuery, Cloud Storage, an To view full details and how to apply, please login or create a Job Seeker account