McKesson
Healthcare
DataEngineer,FinanceData&BI
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, Finance Data & BI at McKesson. Skills: Data Engineering, ETL/ELT pipelines, Cloud data solutions, AI/ML data pipelines. Design, build, and optimize scalable data pipelines. Transform raw financial data”
What You'll Achieve.
Transform raw financial data into high-quality, analytics-ready, and AI-enabled datasets; Support enterprise analytics, AI/ML use cases, and sound financial governance; Ensure accuracy and trust in downstream analytics and AI use cases
Industry & Context.
Solve complex problems
3 to 5 days in the office each month, Reside within 60 miles of Richmond
What They're Looking For.
Must Have
4+ years of relevant experience, 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, proficiency in object-oriented programming languages such as Python, Java, or C#, 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
Nice to Have
Google Cloud Platform (GCP) preferred over other platforms, Experience with PySpark, Experience with Matillion or other modern ETL tools, Working knowledge of core financial data concepts, Experience deploying SOX-compliant data solutions, Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows
What You'll Do.
and optimize scalable data pipelines
Transform raw financial data
Support strategic reporting
Support automation and advanced analytics
Serve as agile technical partner
Build future-state Finance data platforms
Solve complex problems across data stack
Deliver stakeholder-ready data solutions
Design new architectures
Reengineer existing architectures
maintain ETL/ELT pipelines
Develop and maintain database code
Create and maintain ETL processes
Contribute to CI/CD deployment workflows
Implement and optimize data models
Optimize data architecture
Design and implement automated data quality checks
Ensure data solutions meet governance standards
How You'll Work.
Team & Collaboration
Serve as an agile technical partner to Data Product, Architecture, BI, Data Science, Finance Analysts, and business stakeholders; Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners; Communicate technical concepts clearly to non-technical stakeholders
Communication Scope
Communicate technical concepts clearly
Full 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. 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. # **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. # **Compensation** * Base: $130,000 to $140,000 * 10% Annual Incentive # # **Key Responsibilities** Data Engineering & Architecture * Solve complex problems across th
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