Lead Data Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Job Title
Lead Data Engineer (Operations / KTLO)
Summary
We are seeking a technically strong and operationally focused Lead Data Engineer to manage the day-to-day operations of PSaS Data & Analytics platforms. This role focuses on Keep the Lights On (KTLO) activities, ensuring reliable platform performance, SLA adherence, and continuous improvement across data systems.
What You’ll Do
Own and manage day-to-day operations of Data & Analytics platforms, ensuring SLA-driven support and service delivery
Support cross-functional teams by delivering data insights for complex business problems
Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes
Gather requirements, define data models, and support solution design with architects and engineering teams
Perform data exploration, analysis, and maintain data definitions, business rules, and lineage
Drive documentation, testing (functional, regression, exploratory), and execution of test plans
Build, enhance, and support scalable data pipelines (batch and real-time) across multiple systems
Implement data governance practices and promote data literacy across the organization
Identify and address technical debt; continuously improve and optimize processes
Monitor, troubleshoot, and tune performance of data platforms and analytical solutions
Champion automation-first, enterprise-first, and reusable solution design principles
Support infrastructure and cloud-based solutions including SaaS, PaaS, IaaS, and IaC practices
Communicate insights and results through reporting and presentations
What You Bring
Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory
Proficiency in SQL, Python, and/or R for data analysis and engineering
Experience with reporting and visualization tools such as Power BI
Knowledge of legacy and enterprise systems such as SAP, SQL Server, DataStage, and Unix scripting
Strong understanding of data engineering, analytics, and large-scale data processing
Experience with distributed data processing tools (e.g., PySpark)
Familiarity with tools like Splunk, Alation, and data governance frameworks
Strong leadership, delegation, and stakeholder management skills
Ability to manage multiple priorities in a fast-paced environment
Strong problem-solving and strategic thinking capabilities
Understanding of distribution or supply chain business environments
Experience working with Databricks and Snowflake
Excellent communication and stakeholder management skills
Ability to manage multiple projects and priorities
Minimum Requirements
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field
7+ years of experience in data analytics or data engineering
At least 2 years of experience in a leadership or mentorship role
Preferable Skills & Experience
Experience supporting KTLO / operations-focused data environments
Knowledge of SAP and IBM DataStage
Experience with RESTful services and data platform monitoring tools
Exposure to advanced analytics, econometrics, or operations research
Experience working in agile delivery environments
Strong focus on automation and infrastructure as code (IaC)
Experience in enterprise-scale data governance and metadata management

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$138,800 - $231,300

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McKesson is an Equal Opportunity Employer
 
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
 
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