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: Senior/Lead Data Engineer
Current Need:
The Senior / Lead Data Engineer will be part of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well as maintaining data definitions, business rules, and lineage. Additional duties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conducting different types of testing (functional, regression, exploratory), and preparing and executing test cases and plans.
Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies, tools and processes.
Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.
Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS) Experience with automation to Infrastructure (IaC - Infrastructure as Code)
Understanding of large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use cases. Specific experience with Snowflake, Databricks, Azure data factory, PySpark, Analytical SQL, Splunk, Alation, R, Python. Experience with SAP and IBM DataStage is also extremely beneficial.
Minimum Job Qualifications (Knowledge, Skills, & Abilities):
Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field.
Specialized Knowledge/Skills –
Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This position operates under consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.
Working Conditions: Environment (Office, warehouse, etc.) –
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. 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.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
Join us at McKesson!
