Finance Solutions, Google Cloud Platform

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.

About the role

McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join our Finance Solutions team. This is a critical individual contributor opportunity within our Finance Data & BI organization, where you will help lead the ongoing migration and modernization of our Finance data platforms to Google Cloud Platform (GCP). This role is ideal for data engineers who enjoy building scalable Finance data solutions within cloud environments and solving complex business challenges through modern data engineering practices.

This position is embedded within the Finance Data & BI organization and focuses on transforming financial data into trusted, analytics-ready assets that support reporting, forecasting, planning, automation, AI/ML initiatives, and strategic business decision-making. Reporting to the Director, Finance Data & BI, you will partner closely with Finance, Business Intelligence, Data Product, Architecture, and Data Science teams to design, build, and optimize modern cloud-based Finance data solutions. Your work will directly influence the future-state Finance data ecosystem and play a significant role in McKesson's strategic investment in Google Cloud Platform.

Schedule

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.

Requirements

• 4+ years of relevant experience as a Data Engineer.
• Demonstrated hands-on experience delivering production-scale data engineering solutions within Google Cloud Platform (GCP). While we are open to candidates with as little as 2+ years of GCP experience, this capability is considered highly critical to success in the role.
• 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#.

Skills

• 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
  • Applying data governance by design
  • Data warehousing and ETL best practices
  • CI/CD and version control using GitHub
• Experience with PySpark (Nice to Have)
• Experience with Matillion or other modern ETL tools (Nice to Have)
• Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting) (Nice to Have)
• Experience deploying SOX-compliant data solutions in a regulated enterprise (Nice to Have)
• Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows (Nice to Have)

Responsibilities

• 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.
• Optimization, Data Quality & Governance
  • 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.
• Collaboration & Communication
  • 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.

About McKesson Medical-Surgical

McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets – often referred to as Alternate Care or Non-Acute Care – include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space.

With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products – from bandages to specialty pharmaceuticals and COVID-19 tests.

Pay

Our Base Pay Range for this position is $106,500 - $177,500. 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.

Benefits

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. For more information regarding benefits at McKesson, please click here.