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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.

Key Responsibilities

Contribute to the implementation of the data strategy of US Oncology analytics through new development and enhancements of existing products and processes.

Engage in the architectural discussions, implementation, and execution of newly migrated Databricks data ecosystem and all processes and projects that supports evolving data and analytics landscapes for The Network

Be responsible for creating/maintaining custom backend services to facilitate data and analytics products including using SQL, cloud development APIs, tools, and services.

Identify, design, optimize important process and implement scalable data pipelines and define best practices.

Develop and maintain callable data pipelines, data integration, and data quality frameworks to support growing data complexity

Create, analyze, and develop reliable and secure back-end functionalities to power the data-driven products.

Partner with cross-functional teams to implement the technical solutions to support the products for the analytics withing the larger US Oncology organization

Create data product documentation including robust data dictionaries and metadata tagging

Assist Data Analysts within the organization to understand the data model to support patient care and practice success

Minimum Requirement

Degree or equivalent and typically requires 4+ years of relevant experience.

Critical Skills

4+ years of relevant experience working in Data Engineering or Analytics Team.

4+ years of experience with databases preferably with Databricks or Snowflake.

4+ years of experience with ETL automation, SQL, RDMS for implementing scalable data transformation infrastructure..

3+ years of relevant development experience in object-oriented programming (Python) in an agile methodology

3+ years of experience with systems like ADLS/sFTP/Data Factory/Autoloader and developing data ingestion pipeline for flat files and using APIs

3+ years of relevant with various application architectures (Cloud Architecture, Modular Architecture)

2+ years of experience with DevOps activities for deploying pipelines using GitHub Actions or similar tools

Familiarity working with EHR or healthcare data or other complex data sets

Additional Knowledge & Skills

Familiarity with the Machine Learning Engineering, ML Ops and readiness to apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. is a plus

Working knowledge of report/dashboard development, data/report automation, self-service capabilities, data design, and integration, or data quality and governance preferred

Experience in managing and implementing successful projects

Familiarity with development tools such as JIRA, Asana, GitHub

Oncology and value-based care experience is a plus

Candidates must be authorized to work in USA. Sponsosrship is not available for this role.

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 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, please click here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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