Lead Data Engineer

About The Company 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. About The Role The Lead Data Engineer at McKesson is a key senior individual contributor within the Decision Intelligence organization. This role is responsible for leading the design, development, and operationalization of scalable data engineering and analytics solutions across the Pharmacy Services and Solutions (PSaS) Business Unit. As a technical leader, the Lead Data Engineer combines deep hands-on engineering expertise with solution leadership, mentorship, and cross-functional influence to ensure the delivery of high-quality data products. The role involves collaborating with multiple stakeholders, including data architects, data scientists, analysts, and business leaders, to translate complex analytical requirements into reliable and scalable data solutions. The ideal candidate will excel in designing both batch and real-time data pipelines, influencing architectural decisions, and driving best practices in data engineering to support advanced analytics and machine learning initiatives. Qualifications The ideal candidate will possess recognized expertise in data engineering and analytics within large enterprise environments, with a strong ability to independently lead complex technical initiatives. Proven experience influencing technical direction and mentoring other engineers without formal management responsibilities is essential. A deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing is required. Candidates should demonstrate excellent stakeholder communication and collaboration skills. A minimum of 10+ years of relevant experience, along with a degree or equivalent, is typically expected for this senior role. Technical proficiency in SQL, Python, scripting, and hands-on experience with cloud platforms and data processing tools is necessary. Responsibilities Lead end-to-end technical delivery for complex data engineering initiatives or domains, ensuring solutions align with enterprise standards and strategic goals. Serve as a senior technical point of contact for data engineering within cross-functional squads, providing guidance and expertise. Design and build scalable, reliable batch and real-time data pipelines across internal and external systems to facilitate analytics, reporting, and ML use cases. Collaborate with Data Architects and enterprise teams to influence and define architectural decisions and solution designs. Establish and uphold engineering standards, patterns, and best practices that support a robust data ecosystem. Mentor and review the work of data engineers, fostering technical growth and ensuring high-quality code and design reviews. Ensure the quality, reliability, performance, and long-term maintainability of data products and pipelines. Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into effective, scalable data solutions. Promote an automation-first and reusability-focused mindset across data engineering projects to optimize efficiency and consistency. Oversee testing strategies, production readiness, observability, and operational stability of data pipelines. Proactively identify technical debt and lead efforts to remediate issues, ensuring continuous improvement. Support advanced analytics and machine learning initiatives by designing optimized data models and pipelines. Communicate technical designs, trade-offs, risks, and outcomes clearly to stakeholders at all levels. Benefits McKesson offers a comprehensive and competitive compensation package as part of our Total Rewards program. Compensation is determined based on factors such as performance, experience, skills, and market conditions, with adherence to all applicable regulations. In addition to base salary, eligible employees may receive annual bonuses, long-term incentives, and other benefits. Our benefits package includes health insurance, retirement plans, paid time off, professional development opportunities, and wellness programs. We are committed to supporting our employees' growth, health, and well-being, fostering a positive and inclusive work environment. Equal Opportunity McKesson is an Equal Opportunity Employer that provides equal employment opportunities to all applicants and employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are dedicated to creating an inclusive environment where everyone can thrive. If you require a reasonable accommodation during the application process, please contact us via the designated channels. For more information about our policies, please visit our Equal Employment Opportunity page.

Lead the design, development, and operationalization of scalable data engineering and analytics solutions for the Pharmacy Services and Solutions Business Unit. This role involves building batch and real-time pipelines while mentoring other engineers and collaborating with cross-functional stakeholders.

Requires 10+ years of relevant experience in data engineering within large enterprise environments and a degree or equivalent. Proficiency in SQL, Python, and cloud platforms is necessary, along with proven experience in technical leadership and architectural influence.

• Health Insurance • Retirement Plans • Paid Time Off • Professional Development Opportunities • Wellness Programs • Annual Bonuses • Long-term Incentives

• SQLSouhaitée
• MentorshipSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Sql
• Python
• Cloud Platforms
• Data Engineering
• ETL/ELT
• Data Pipeline Design
• Data Architecture
• Machine Learning
• Scripting
• Stakeholder Communication
• Technical Leadership
• Mentorship
• Data Modeling
• Real-time Data Processing
• Batch Processing
• Observability

• Data & Analytics
• Technology
• Healthcare
• Engineering
• Management & Leadership

Formation minimale

Baccalauréat

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Associate