Finance Data Engineer for GCP Cloud Migration

McKesson; Richmond, Northern (VA, KY); Hybrid; USD 107,000 - 178,000; Full time

Job summary

McKesson is seeking a Data Engineer to join the Finance Data & BI team in Richmond, VA, focusing on migrating and modernizing finance data platforms on Google Cloud Platform (GCP).

The role requires 4+ years in data engineering, strong GCP experience, and proficiency in Python/Java/C#. You will help design scalable data solutions, collaborate with cross-functional teams, and contribute to AI/ML data pipelines within an enterprise setting.

Qualifications

• 4+ years of experience as a Data Engineer in an enterprise environment.
• Hands-on experience delivering production-scale data engineering solutions in Google Cloud Platform (GCP).
• Experience with data warehouses, cloud platforms, relational databases, and data visualization tools.
• Strong programming skills in Python, Java, or C# and CI/CD with GitHub.

Responsibilities

• Solve complex problems across the full data stack, delivering production-scale data solutions.
• Design architectures and optimize data structures, databases, and code.
• Build and maintain ETL/ELT pipelines using modern cloud technologies for analytics/AI workloads.
• Collaborate with Finance, BI, and Data Product teams to translate requirements into scalable solutions.

Skills

Python

Java

C#

Tools

PySpark

Matillion

Job description

McKesson is seeking a Data Engineer to join the Finance Data & BI team in Richmond, VA, focusing on migrating and modernizing finance data platforms on Google Cloud Platform (GCP).

The role requires 4+ years in data engineering, strong GCP experience, and proficiency in Python/Java/C#. You will help design scalable data solutions, collaborate with cross-functional teams, and contribute to AI/ML data pipelines within an enterprise setting.