{"schemaVersion":"jobsearcher.job.v1","id":"b44f404e7e29d48dfdad336e","url":"https://jobsearcher.com/jobs/b44f404e7e29d48dfdad336e","canonicalUrl":"https://jobsearcher.com/jobs/b44f404e7e29d48dfdad336e","title":"Data Engineer, Finance Solutions, Google Cloud Platform","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.\n\nWhat 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.\n\nData Engineer, Finance Solutions - Google Cloud Platform (GCP)\n\nAre 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?\n\nMcKesson 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).\n\nThis 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.\n\nReporting 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.\n\nImportant: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.\n\nCompensation & Hybrid Expectations\n\nBase: $130,000 to $140,000\n\n10% Annual Incentive\n\nThis position is based in Richmond, VA with 3 to 5 days in the office each month.\n\nPreferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).\n\nRelocation assistance is not available for this role.\n\nMinimum Requirements\n\n4+ years of relevant experience\n\nTargeted Experience & Critical Skills\n\n4+ years of technical and professional experience as a Data Engineer.\n\nDemonstrated 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.\n\n4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.\n\n4+ years of experience working with structured and unstructured data in batch and real-time data processing environments.\n\nStrong proficiency in object-oriented programming languages such as Python, Java, or C#.\n\nProven experience in an enterprise environment with:\n\nBuilding and optimizing cloud-based data solutions\n\nSupporting business-critical systems\n\nDesigning or supporting production-scale AI/ML data pipelinesing data governance by design\n\nData warehousing and ETL best practices\n\nCI/CD and version control using GitHub\n\nAdditional Skills: (Nice to Have)\n\nExperience with PySpark\n\nExperience with Matillion or other modern ETL tools\n\nWorking knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)\n\nExperience deploying SOX‑compliant data solutions in a regulated enterprise\n\nExperience with Oracle JD Edwards or familiarity with financial application data integrations and data flows\n\nKey Responsibilities\n\nData Engineering & Architecture\n\nSolve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholder‑ready, production‑scale data solutions\n\nDesign new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code\n\nDevelop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads\n\nDevelop and maintain database code, including stored procedures, functions, and performance‑optimized transformations\n\nCreate and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools\n\nOptimization, Data Quality & Governance\n\nImplement and optimize data models (e.g., dimensional modeling) within the Finance data environment\n\nOptimize data architecture for performance, scalability, and cost efficiency across large financial datasets\n\nDesign and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases\n\nEnsure all data solutions meet financial governance and compliance standards, including SOX requirements\n\nCollaboration & Communication\n\nPartner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions\n\nCommunicate technical concepts clearly to non‑technical stakeholders, balancing innovation with operational risk and controls\n\nEnable trusted data environments required for forecasting models, scenario planning, and AI‑driven insights\n\nContribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies\n\nWe 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,\n\nOur Base Pay Range for this position\n\n$106,500 - $177,500\n\nMcKesson 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:\n\nMcKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.\n\nMcKesson 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.\n\nMcKesson job postings are posted on our career site: careers.mckesson.com.\n\nMcKesson is an Equal Opportunity Employer\n\nMcKesson 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.\n\nMcKesson 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.\n\nJoin us at McKesson!","company":"McKesson","rawCompany":"mckesson","city":"Henrico","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-12T09:36:35.129Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Finance Solutions, Google Cloud Platform","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.\n\nWhat 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.\n\nData Engineer, Finance Solutions - Google Cloud Platform (GCP)\n\nAre 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?\n\nMcKesson 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).\n\nThis 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.\n\nReporting 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.\n\nImportant: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.\n\nCompensation & Hybrid Expectations\n\nBase: $130,000 to $140,000\n\n10% Annual Incentive\n\nThis position is based in Richmond, VA with 3 to 5 days in the office each month.\n\nPreferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).\n\nRelocation assistance is not available for this role.\n\nMinimum Requirements\n\n4+ years of relevant experience\n\nTargeted Experience & Critical Skills\n\n4+ years of technical and professional experience as a Data Engineer.\n\nDemonstrated 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.\n\n4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.\n\n4+ years of experience working with structured and unstructured data in batch and real-time data processing environments.\n\nStrong proficiency in object-oriented programming languages such as Python, Java, or C#.\n\nProven experience in an enterprise environment with:\n\nBuilding and optimizing cloud-based data solutions\n\nSupporting business-critical systems\n\nDesigning or supporting production-scale AI/ML data pipelinesing data governance by design\n\nData warehousing and ETL best practices\n\nCI/CD and version control using GitHub\n\nAdditional Skills: (Nice to Have)\n\nExperience with PySpark\n\nExperience with Matillion or other modern ETL tools\n\nWorking knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)\n\nExperience deploying SOX‑compliant data solutions in a regulated enterprise\n\nExperience with Oracle JD Edwards or familiarity with financial application data integrations and data flows\n\nKey Responsibilities\n\nData Engineering & Architecture\n\nSolve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholder‑ready, production‑scale data solutions\n\nDesign new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code\n\nDevelop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads\n\nDevelop and maintain database code, including stored procedures, functions, and performance‑optimized transformations\n\nCreate and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools\n\nOptimization, Data Quality & Governance\n\nImplement and optimize data models (e.g., dimensional modeling) within the Finance data environment\n\nOptimize data architecture for performance, scalability, and cost efficiency across large financial datasets\n\nDesign and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases\n\nEnsure all data solutions meet financial governance and compliance standards, including SOX requirements\n\nCollaboration & Communication\n\nPartner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions\n\nCommunicate technical concepts clearly to non‑technical stakeholders, balancing innovation with operational risk and controls\n\nEnable trusted data environments required for forecasting models, scenario planning, and AI‑driven insights\n\nContribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies\n\nWe 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,\n\nOur Base Pay Range for this position\n\n$106,500 - $177,500\n\nMcKesson 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:\n\nMcKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.\n\nMcKesson 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.\n\nMcKesson job postings are posted on our career site: careers.mckesson.com.\n\nMcKesson is an Equal Opportunity Employer\n\nMcKesson 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.\n\nMcKesson 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.\n\nJoin us at McKesson!","datePosted":"2026-08-12T09:36:35.129Z","dateModified":"2026-08-12T09:36:35.129Z","hiringOrganization":{"@type":"Organization","name":"McKesson","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Henrico","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b44f404e7e29d48dfdad336e"},"url":"https://jobsearcher.com/jobs/b44f404e7e29d48dfdad336e"}}