Data Engineer, Finance Solutions, Google Cloud Platform

McKesson; Richmond (VA); Hybrid; USD 107,000 - 178,000; Full time

Job summary

McKesson is seeking a Data Engineer for Finance Solutions to drive the migration and modernization of Finance data platforms to Google Cloud Platform (GCP). The role is based in Richmond, VA with 3–5 days in office monthly, remote flexibility not specified, and a focus on production-scale data solutions for analytics, forecasting, and AI/ML initiatives.

The candidate will partner with Finance, BI, Data Product, and Architecture teams to design, build, and optimize cloud-based Finance data

Qualifications

• 4+ years of relevant experience in data engineering.
• Hands-on experience delivering production-scale data solutions in GCP.
• 4+ years in data warehousing, cloud platforms, databases, and BI tooling.
• 4+ years handling structured and unstructured data in batch and real-time contexts.
• Proficiency in Python, Java, or C# for data pipelines.
• Experience with CI/CD and GitHub for deployment workflows.

Responsibilities

• Solve complex problems across the full data stack with production-scale solutions.
• Design and reengineer architectures, optimize data structures and databases.
• Develop and maintain scalable ETL/ELT pipelines using cloud tech.
• Create and maintain database code and performance-optimized transformations.
• Build CI/CD processes and contribute to GitHub Actions workflows.

Skills

Data engineering

GCP experience

Data warehousing

Batch & real-time processing

Python/Java/C#

CI/CD with GitHub

SQL / Spark

Data governance

Tools

PySpark

Matillion

Oracle JD Edwards

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.

Data Engineer, Finance Solutions - Google Cloud Platform (GCP)

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.

Compensation & Hybrid Expectations

• Base: $130,000 to $140,000

• 10% Annual Incentive

• 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

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.

Our Base Pay Range for this position

$106,500 - $177,500

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) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

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