Senior Data Platform Engineer — ETL & Analytics Lead

McKesson; United States; On-site; USD 99,000 - 132,000; Full time

Job summary

McKesson is seeking a Sr. Data Engineer to lead design and optimization of our enterprise data infrastructure, enabling advanced analytics and decision making.

You will build scalable data pipelines, develop ETL programs, and ensure data integrity, governance, and compliance in a regulated healthcare environment while mentoring junior engineers and collaborating with architects, analysts, and data scientists.

Qualifications

• Expertise in designing and maintaining data pipelines and ETL across complex systems.
• Advanced proficiency in SQL and Python for data processing.
• Strong knowledge of data modeling and metadata management.
• Familiarity with big data technologies (Hadoop, Kafka, HDFS).
• Experience in healthcare or regulated industries preferred.

Responsibilities

• Design and implement scalable data pipelines and ETL programs to integrate complex data sources across internal and external systems.
• Write and optimize SQL and Python queries to improve data processing and performance.
• Develop and maintain metadata repositories, ensuring data integrity and usability for enterprise systems.
• Create and implement processes for data standardization, reliability, and quality improvements across platforms.
• Troubleshoot and resolve complex data analytic issues in production and development environments.
• Develop and maintain query libraries and custom software components to support analytics and reporting.
• Recommend and implement tools, technologies, and best practices to enhance data engineering capabilities and system performance.
• Ensure governance, security, and regulatory compliance through data quality checks and documentation.

Skills

SQL

Python

Data pipelines

ETL

Data modeling

Metadata management

Big data

Regulatory compliance

Mentoring

Education

Bachelor's degree or equivalent

Tools

Hadoop

Apache Kafka

HDFS

Job description

McKesson is seeking a Sr. Data Engineer to lead design and optimization of our enterprise data infrastructure, enabling advanced analytics and decision making.

You will build scalable data pipelines, develop ETL programs, and ensure data integrity, governance, and compliance in a regulated healthcare environment while mentoring junior engineers and collaborating with architects, analysts, and data scientists.