Lead Data Engineer

 Posted 2 hours ago
     
 $138K - $231K per year
  
5-10 years experience
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AI Summary

Manage day-to-day operations of Data & Analytics platforms with a focus on KTLO activities and SLA adherence. Build and support scalable data pipelines while collaborating with cross-functional teams to deliver data-driven business outcomes.

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

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

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.

 

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

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