Job Description

Salary: $99,100 - 132,100 per year Requirements:

• Expertise in designing and maintaining data pipelines, ETL processes, and data integrations across complex systems.
• Advanced proficiency in SQL and Python for data processing and query optimization.
• Strong understanding of data modeling and design, including entity relationships and metadata management.
• Familiarity with big data technologies such as Hadoop, Apache Kafka, and distributed file systems such as HDFS.
• Ability to establish and improve data standardization, reliability, and quality processes.
• Skill in diagnosing complex data issues and resolving conflicts between data models.
• Experience developing custom software components and analytics applications.
• Effective communication and leadership skills, including the ability to guide technical decisions and mentor colleagues.
• Bachelors degree or an equivalent combination of education and experience.
• Typically, at least 7 years of relevant professional experience in data engineering or a related field.
• Hands-on experience developing advanced ETL processes, scripting with SQL and Python, and integrating data across multiple platforms.
• Experience in healthcare or another regulated industry is preferred.

• Provide technical leadership in designing, implementing, and optimizing our enterprise data infrastructure for analytics and decision-making.
• Build scalable data pipelines and ETL programs that integrate complex data sources across internal and external systems.
• Write and optimize advanced SQL queries and Python code to improve data processing and query performance.
• Develop and maintain metadata repositories and ensure enterprise data integrity, accuracy, and usability.
• Create and implement processes that strengthen data standardization, reliability, and quality across platforms.
• Troubleshoot and resolve complex analytics and database management 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 that improve our data engineering capabilities and system performance.
• Support governance, security, and regulatory compliance through data quality checks and documentation.
• Work with cross-functional teams to align data solutions with enterprise architecture and business priorities.
• Mentor junior engineers and promote sound practices and continuous improvement.

• Big Data
• ETL
• Hadoop
• Support
• Kafka
• Python
• SQL
• Security

More:

We are McKesson, a Fortune 10 company working across healthcare to make quality care more accessible and affordable through our insights, products, and services. We foster a culture that supports growth, new ideas, and meaningful contributions to the future of health. In this senior-level data engineering role, you will help deliver reliable, production-ready data solutions in a regulated environment and support our strategic and operational goals. We offer a competitive total rewards package; base pay for this position ranges from $99,100 to $132,100, with compensation determined by factors including experience, skills, performance, equity, and location. Annual bonuses or long-term incentives may also be available. We are an equal opportunity employer and provide reasonable accommodations for applicants who need them.

last updated 42 week of 2026

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