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.
We are seeking a competent and driven Data Engineer to join our Data & Analytics team within the Customer Service division of our US Medical-Surgical distribution company. In this role, you will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from various sources. You will develop robust and scalable solutions to transform data into formats suitable for analysis, enhance data flow, and enable end users to consume and analyze data more efficiently. This position requires an understanding of data modeling concepts and hands-on experience with data analysis and query tools including Power BI, SQL, Python and MS Azure (or similar cloud experience) basics.
Data Pipeline Development: Design, build, and maintain ETL pipelines to process data from diverse sources.
Data Modeling: Apply and incorporate data modeling concepts into ETL pipelines.
Data Transformation: Develop scalable solutions to transform data into useful formats for analysis.
Complex Queries: Write complex queries to support analytics needs.
Tool Evaluation: Evaluate and recommend tools and technologies for data infrastructure and processing.
Collaboration: Collaborate with key stakeholders to translate business requirements into technical specifications and coded data pipelines.
Data Tools: Utilize data analysis and query tools (R, Python, SQL), relational and non-relational data stores, ETL tools, machine learning, and cloud data technologies (DataBricks, Snowflake, Azure, GCP).
Data Management: Work with structured and unstructured data from data lakes, relational database management systems, and data warehouses.
Qualifications:
Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Equivalent coursework or relevant professional experience will also be considered.
Technical Skills:
Proficiency in ETL processes and data pipeline development.
Strong understanding of data modeling concepts.
Advanced proficiency in Python and SQL.
Experience with cloud data technologies (Azure, GCP, DataBricks, Snowflake).
Proficiency in data analysis and query tools (R, Python, SQL).
Experience with both relational and non-relational data stores.
Soft Skills:
Strong problem-solving skills.
Ability to work collaboratively in a team environment.
Excellent communication skills to articulate technical concepts to non-technical stakeholders.
Detail-oriented with a focus on accuracy and quality.
Eagerness to learn and adapt to new technologies and methodologies.
Unable to Sponsor for this role
This is Richmond based Opportunity - No Relocation Assistance Provided
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
$78,500 - $130,900
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.
