Data Insights Engineer: Build Scalable Snowflake Pipelines

McKesson; Irving, Northern (TX, KY); Hybrid; USD 106,000 - 177,000; Full time

Job summary

McKesson Corp. is seeking a Software Engineer for the Data Insights team in a hybrid role. You will design and support scalable data warehouses and data pipelines using Snowflake, Matillion, and Azure to power reporting and analytics.

Collaboration with engineers, analysts, and business stakeholders is essential to deliver actionable insights. Minimum 4+ years in data/software engineering, strong SQL skills, and experience with ETL/ELT and cloud data platforms.

Qualifications

• 4+ years of experience in Data Engineering or related field.
• Strong SQL development, including complex queries and optimization.
• Experience building ETL/ELT pipelines.
• Experience with Snowflake or similar cloud data warehouse.

Responsibilities

• Design, build, and support scalable data warehouses and pipelines.
• Develop SQL-based transformations, data models, and integrations.
• Integrate data from Oracle and other systems with quality controls.
• Optimize data warehouse performance and architecture.
• Troubleshoot data pipelines and production issues.
• Support source control, CI/CD, testing, and deployments.
• Collaborate with engineers, analysts, and stakeholders to deliver insights.

Skills

Data Engineering

SQL development

ETL/ELT pipelines

Cloud data warehouse

Git & CI/CD

Agile development

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Snowflake

Matillion

Azure

Oracle

Job description

McKesson Corp. is seeking a Software Engineer for the Data Insights team in a hybrid role. You will design and support scalable data warehouses and data pipelines using Snowflake, Matillion, and Azure to power reporting and analytics.

Collaboration with engineers, analysts, and business stakeholders is essential to deliver actionable insights. Minimum 4+ years in data/software engineering, strong SQL skills, and experience with ETL/ELT and cloud data platforms.