May. 04, 2026
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.
McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join the Finance Solutions team. This is a critical individual contributor role within our Finance Data & BI organization.
The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into high‑quality, analytics‑ready, and AI‑enabled datasets. These datasets support strategic reporting, planning, forecasting, automation, and advanced analytics across the organization.
Reporting to the Director, Finance Data & BI, this Data Engineer will serve as an agile technical partner to Data Product, Architecture, Business Intelligence, Data Science, Finance Analysts, and business stakeholders. This role plays a key part in building the future‑state Finance data platforms at MMS, supporting enterprise analytics, AI/ML use cases, and sound financial governance.
This position is based in Richmond, VA with 3 to 5 days in the office each month.
Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).
Relocation assistance is not available for this role.
Data Engineering & Architecture
Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholder‑ready, production‑scale data solutions
Design new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code
Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads
Develop and maintain database code, including stored procedures, functions, and performance‑optimized transformations
Create and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools
Implement and optimize data models (e.g., dimensional modeling) within the Finance data environment
Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets
Design and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases
Ensure all data solutions meet financial governance and compliance standards, including SOX requirements
Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions
Communicate technical concepts clearly to non‑technical stakeholders, balancing innovation with operational risk and controls
Enable trusted data environments required for forecasting models, scenario planning, and AI‑driven insights
Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies
4+ years of technical and professional experience as a Data Engineer
4+ years of hands‑on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools
4+ years of experience working with structured and unstructured data in batch and real‑time data processing environments
Strong proficiency in object‑oriented programming languages such as Python, Java, or C#
Demonstrated experience with Google Cloud Platform (GCP) preferred over other platforms (e.g., Snowflake, Databricks, Microsoft, Teradata)
Proven experience in an enterprise environment with:
Building and optimizing cloud‑based data solutions
Supporting business‑critical systems
Designing or supporting production‑scale AI/ML data pipelines
ing data governance by design
Data warehousing and ETL best practices
CI/CD and version control using GitHub
Experience with PySpark
Experience with Matillion or other modern ETL tools
Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)
Experience deploying SOX‑compliant data solutions in a regulated enterprise
Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows
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, (opens in new window)
Our Base Pay Range for this position
$106,500 - $177,500
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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: careers.mckesson.com (opens in new window).
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 McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity (opens in new window) page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] (opens in new window) or (Canada) [email protected] (opens in new window). Resumes or CVs submitted to this email box will not be accepted.
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