Data Engineer, Finance Data & BI

Overview

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.

• 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 Git Hub 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 nontechnical stakeholders, balancing innovation with operational risk and controls

• Enable trusted data environments required for forecasting models, scenario planning, and AIdriven insights

• Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

• 4+ years of relevant experience

• 4+ years of technical and professional experience as a Data Engineer

• 4+ years of handson 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 realtime data processing environments

• Strong proficiency in object oriented programming languages such as Python, Java, or C#

• Demonstrated experience with Google Cloud Platform (GCP) preferred over other platforms (e.g., Snowflake, Databricks, Microsoft, Teradata)

• 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 Git Hub

• Experience with
  Py Spark

• Experience with
  Matillion or other modern ETL tools

• Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)

• Experience deploying SOXcompliant data solutions in a regulated enterprise

• Experience with
  Oracle JD Edwards or familiarity with financial application data integrations and data flows

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…