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.
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
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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.
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