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 r
esponsibilities 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.
Key Responsibilities
- Support a cross-functional team and
provide
in-depth data insights for complex business problems that can be approached with advanced analytics
- Work closely with the other Data Engineers and Scientists to deliver results
- Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights
- Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria
- Leverage tools and resources to plan,
evaluate
and execute strategic initiatives
- Strong delegation and management skills to ensure work is conducted in
a timely
, quality fashion by internal and external partners and multi-shore teams/resources.
- Continuously improve and
optimize
business processes and operations.
Identifying
, publicizing the tech debt across data landscape and championing addressal pursuits.
- Data Engineering and Analytics support
- Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions.
- Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies,
tools
and processes.
- Implements data governance practices in partnership with business stakeholders and peers, data governance office
teams
and solution teams to advocate for data literacy and data democratization across enterprise.
- Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode
- 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
- Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc
- 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.
- Communicate
results and educate others through reports and presentations.
Minimum Job Qualifications
(Knowledge, Skills, & Abilities)
Education/Training -
- Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or
a related
field.
- 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role.
- Proficiency
in SQL, Python, R, or similar analytical tools.
- Experience with data visualization platforms such as Power BI, Tableau, or Looker.
- Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
- Experience with analytical tools such as Databricks & Snowflake
- Excellent communication and stakeholder management skills.
- Ability to manage multiple projects and priorities in a fast-paced environment.
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.
- Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term
objectives
- Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.
Working Conditions:
Environment (Office, warehouse, etc.) -
- Traditional office
environmen
t
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!