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Data Engineer, Finance Data & BIMcKesson • Richmond, Virginia, United States
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Data Engineer, Finance Data & BI

McKesson
  • US
    Richmond, Virginia, United States
  • US
    Richmond, Virginia, United States
Postuler Maintenant

À propos

Data Engineer McKesson Medical‑Surgical (MMS) is seeking an experienced Data Engineer to join the Finance Solutions team. This individual‑contributor role is part of the Finance Data & BI organization and will design, build, and optimize scalable data pipelines that transform raw financial data into high‑quality, analytics‑ready, and AI‑enabled datasets. Hybrid Expectations Position 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 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. Minimum Requirements 4+ years of relevant experience. Preferred Critical Requirements 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. Strong proficiency in object‑oriented programming languages such as Python, Java, or C#. Demonstrated experience with Google Cloud Platform (GCP) preferred over other platforms. 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, and applying data warehousing and ETL best practices. CI/CD and version control experience 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. Compensation Details Base pay range: $106,500 – $177,500. Equal Opportunity Employer McKesson is an Equal Opportunity Employer. We provide 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 applicants requiring accommodations, please contact: Disability_Accommodation@McKesson.com (U.S.) or Accessibility@mckesson.ca (Canada). Resumes or CVs submitted to this email will not be accepted.
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  • Richmond, Virginia, United States

Compétences linguistiques

  • English
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