Remote-Ready Data Analytics Engineer (Databricks/Python)

Mckesson Corporation; Irving (TX); Hybrid; USD 112,000 - 186,000; Full time

Job summary

McKesson is seeking a Data Analytics Engineer to design and own scalable data solutions for US Oncology datasets. You will work with Databricks and Python to deliver governed, reusable data assets and collaborate with stakeholders to drive analytics and operational reporting.

The role offers location flexibility across the United States and a hybrid setup for those near the Dallas–Fort Worth area, with onsite days at our Las Colinas office as needed.

Qualifications

• 4+ years of data engineering/analytics experience
• Experience with Databricks or Snowflake
• Python and SQL for data pipelines
• Data quality controls and validation frameworks
• Dimensional modeling with star schemas
• Ability to translate business rules into governed technical solutions

Responsibilities

• Design and implement scalable data solutions on Databricks
• Reduce technical debt and improve data quality
• Build consolidated data assets for analytics and reporting
• Develop dimensional models and optimize query performance
• Collaborate with data engineers, analysts, and stakeholders

Skills

Databricks

Python

SQL

Data governance

Data quality

Education

Bachelor's degree in CS/SE or related field

Tools

Snowflake

Azure

Jira

Asana

Power BI

Looker

Job description

McKesson is seeking a Data Analytics Engineer to design and own scalable data solutions for US Oncology datasets. You will work with Databricks and Python to deliver governed, reusable data assets and collaborate with stakeholders to drive analytics and operational reporting.

The role offers location flexibility across the United States and a hybrid setup for those near the Dallas–Fort Worth area, with onsite days at our Las Colinas office as needed.