À propos
Location:
Columbus, OH (hybrid work schedule).
Visa:
This role does not offer sponsorship for employment visas; candidates must be authorized to work permanently in the United States.
Responsibilities
Design and develop data pipelines that integrate proprietary and third‑party data sources to support commercial data products and proof‑of‑concept initiatives.
Build, optimize, and maintain data transformation pipelines with a focus on scalability, reliability, and performance.
Work with structured and unstructured data to prepare enhanced datasets for internal stakeholders and external use cases.
Write SQL and/or use cloud-based tools such as Databricks (preferred) or Snowflake to cleanse, standardize, and transform data aligned to business use cases.
Collaborate with Product, Analytics, and external‑facing teams to translate commercialization objectives into scalable data solutions.
Contribute to data models and reusable pipeline patterns that support future data product expansion.
Partner with application and platform teams to understand upstream data flows and implement efficient pipeline solutions.
Monitor and support data quality, pipeline performance, and reliability for production data assets.
Requirements
Bachelor’s degree in Computer Science, Information Systems or related field, or equivalent experience, and typically requires 4+ years of experience in data engineering, analytics engineering, or modern data platform environments.
Hands‑on experience building and maintaining data pipelines in cloud environments (Databricks, Snowflake, or similar).
Strong SQL skills and experience transforming data for analytical, reporting, or product‑oriented use cases.
Experience integrating data from multiple internal and third‑party systems.
Experience working with structured and semi‑structured data in batch and/or streaming environments.
Working knowledge of data modeling principles and data quality practices.
Experience supporting analytics, reporting, or externally facing data use cases.
Preferred Skills
Experience with Databricks (Delta Lake, Spark, workflows, or pipeline orchestration).
Experience with or interest in data commercialization, data products, or externally facing analytics solutions.
Experience building production‑ready data pipelines in iterative environments.
Comfort working with evolving requirements and ambiguity.
Ability to translate loosely defined business ideas into structured data outputs.
Strong collaboration skills across product, analytics, and technical teams.
Ownership mindset with a bias toward execution.
Compensation Base pay range: $106,500 - $177,500. Compensation is based on factors such as performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation such as an annual bonus or long‑term incentive opportunities may be offered.
Equal Opportunity Employment McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees regardless of 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 McKesson’s Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including those 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 Disability_Accommodation@McKesson.com (U.S.) or Accessibility@mckesson.ca (Canada). Resumes or CVs submitted to this email box will not be accepted.
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Compétences linguistiques
- English
Avis aux utilisateurs
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