Data Engineer

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 tomorrows health today we want to hear from you.

CoverMyMedsData & Analyticsis looking for aSpecialist Data Engineeringto join ourDataEngineeringteam. Of note our Data Engineering Team is a highly technicalgroup of results driven Engineers Analysts and Architectsfocused on providing our internal and external clients with high quality repeatable and scalable data with our various business units the work our Data Engineeringteam does ultimately helps get more people the medicine they need to live healthier lives.

What Youll Do

The Specialist Data Engineering will support and expand the data platforms that power our commercial data products and analytics offerings. This role will contribute to the design and delivery of scalable reusable data assets that enable both internal teams and external partners to derive value from our data.

You will work across proprietary and third-party data sources to build well-structured high-quality datasets prototypes and sample data assets that support commercialization efforts. This role partners closely with Data Systems Analysts Product and Analytics teams to translate evolving business concepts into tangible testable data solutions.

Position Description

• Design and develop data solutions that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives.
• Build and optimize data ingestion and transformation pipelines that enable rapid iteration while maintaining quality and governance standards.
• Work with structured and unstructured data to prepare enhanced sample or prototype datasets for internal stakeholders and potential external customers.
• Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse standardize and enrich data aligned to defined business use cases.
• Collaborate with Product Analytics and external-facing teams to translate commercialization objectives into scalable data assets.
• Contribute to conceptual data models and reusable data patterns that support future data product expansion.
• Partner with application and platform teams to understand upstream data flows and design appropriate ingestion strategies.
• Support monitoring of data quality performance and reliability for commercialized data assets.

Priority will be given to candidates who reside in the Columbus OH metropolitan area.

We are unable to provide sponsorship for this role presently or in the future.

Minimum Qualifications

Degree or equivalent and typically requires 4 years of relevant experience

Education

Bachelors degree in Computer Science Information Systems or related field

Critical Skills

• 4 years of experience in data engineering analytics engineering or modern data platform environments
• 4 years hands-on experience with cloud data technologies such as Snowflake Databricks or similar platforms
• Strong (4 years) SQL skills and experience transforming data for analytical reporting or product-oriented use cases
• Experience integrating data from multiple internal and third-party systems
• Experience working with structured and semi-structured data in batch and/or streaming environments
• Working knowledge of data modeling principles and data quality practices
• Experience supporting analytics reporting or externally facing data use cases

Preferred Skills

• Experience with or interest in data commercialization data products or externally facing analytics solutions
• Experience building prototype or proof-of-concept data assets or interest in working in rapid iteration environments
• Comfort working with evolving requirements and ambiguity
• Ability to translate loosely defined business ideas into structured data outputs
• Strong collaboration skills across product analytics and technical teams
• Ownership mindset with a bias toward execution

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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media 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: .

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 McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to .

Join us at McKesson!