Job description

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. Are you a Data Engineer with hands-on experience building modern data solutions in Google Cloud Platform (GCP) ? Do you want to play a leading role in a high-visibility enterprise cloud transformation while helping shape the future of Finance Data at McKesson? 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 . Important: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments. Hybrid Expectations 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. Minimum Requirements 4 years of relevant experience Targeted Experience & Critical Skills 4 years of technical and professional 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. The selected candidate will play a significant role in accelerating the migration and modernization of Finance data platforms to GCP. Candidates with proven GCP experience will be strongly preferred. 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# . 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 Additional Skills: (Nice to Have) 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 Key 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. 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 $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In 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: careers.mckesson.com . 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 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) Disability_Accommodation McKesson.com or (Canada) Accessibility mckesson.ca . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Requirements

Must-haves

Important: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.
Hybrid Expectations
Relocation assistance is not available for this role.
4 years of relevant experience
Targeted Experience & Critical Skills
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# .
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
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
Data Engineering & Architecture

Nice-to-haves

Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).
Additional Skills: (Nice to Have)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gcpaimlpythonjavaci/cdsqlaccessibility

Platform: workday
Effort: long