Finance Data Engineer on Google Cloud Platform

McKesson; Richmond (VA); Hybrid; USD 100,000 - 160,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

McKesson is seeking a Data Engineer to join the Finance Data & BI organization, driving cloud-based data solutions in Google Cloud Platform (GCP). The role focuses on transforming financial data into analytics-ready assets to support reporting, forecasting, planning, and AI/ML initiatives.

The position is hybrid, based in Richmond, VA with monthly in-office requirements and relocation not offered. Ideal candidates have 4+ years of data engineering experience and a strong GCP background within an

Qualifications

• 4+ years of relevant experience as a Data Engineer.
• Hands-on experience delivering production-scale data engineering solutions in Google Cloud Platform (GCP).
• Experience with data warehouses, cloud platforms, relational databases, and BI tools.
• Strong proficiency in object-oriented programming languages such as Python, Java, or C#.

Responsibilities

• Solve complex problems across the full data stack, from data wrangling to production-scale solutions.
• Design architectures and reengineer data structures and databases.
• Develop, test, and maintain ETL/ELT pipelines using modern cloud technologies.
• Create and maintain database code and performance-optimized transformations.

Job description

McKesson is seeking a Data Engineer to join the Finance Data & BI organization, driving cloud-based data solutions in Google Cloud Platform (GCP). The role focuses on transforming financial data into analytics-ready assets to support reporting, forecasting, planning, and AI/ML initiatives.

The position is hybrid, based in Richmond, VA with monthly in-office requirements and relocation not offered. Ideal candidates have 4+ years of data engineering experience and a strong GCP background within an