Senior Data Engineer - Databricks & Azure Pipelines

McKesson Corporation; Columbus (OH); On-site; USD 106,500 - 177,500; Full time

Job summary

McKesson in Columbus, Ohio is seeking a hands-on Specialist, Data Engineering to design, build, and support scalable data pipelines and data solutions. You will transform complex data into trusted assets and partner with business and technical stakeholders to enable analytics across the organization.

The ideal candidate has strong Databricks expertise, 4+ years in data engineering, and experience with Azure data services and data governance.

Qualifications

• Bachelor’s degree or equivalent experience.
• 4+ years in a dedicated Data Engineering role.
• 4+ years building and supporting data pipelines and data integration solutions.
• Strong Databricks experience in production.
• Strong SQL development skills.
• Experience with Azure-based data services.
• Experience supporting data governance initiatives.
• Excellent written and verbal communication.

Responsibilities

• Design, build, and maintain scalable data pipelines for reporting, analytics, and operations.
• Develop data ingestion and integration from structured and unstructured sources.
• Create and optimize data transformations using SQL, Databricks, and Azure technologies.
• Support batch and real‑time data processing solutions.
• Implement data quality, validation, and monitoring processes.

Skills

Databricks

SQL

Azure

Data pipelines

Data modeling

Data governance

Communication

Structured & unstructured data

Education

Bachelor’s degree in Computer Science / Information Systems or related field

Job description

McKesson in Columbus, Ohio is seeking a hands-on Specialist, Data Engineering to design, build, and support scalable data pipelines and data solutions. You will transform complex data into trusted assets and partner with business and technical stakeholders to enable analytics across the organization.

The ideal candidate has strong Databricks expertise, 4+ years in data engineering, and experience with Azure data services and data governance.