Data Analytics Engineer

SQL (Programming Language) Engineering Design Process Product Family Engineering Snowflake (Data Warehouse) Python (Programming Language) Application Programming Interface (API) Tableau (Business Intelligence Software), As a Data Analytics Engineer, you will design, implement, and own scalable data solutions for US Oncology datasets. The initial focus of this role is to reduce technical debt, strengthen data quality, establish sustainable data lifecycle management, and build consolidated dimensional datasets that support analytics and operational reporting.

You will work extensively in Databricks and Python, integrate data through APIs and other source systems, and partner with technical and business stakeholders to deliver reliable, governed, reusable data assets. This role also includes data analysis, solution design, technical documentation, and direct analytical support to stakeholders.

What You’ll Do:

• Data Quality Engineering: Design and implement reusable validations for completeness, accuracy, timeliness, consistency, and compliance with business rules; incorporate controls into regular pipeline monitoring and validation.
• Technical Debt Reduction: Identify and resolve high-impact technical debt by standardizing engineering patterns, simplifying data flows, and improving the reliability, scalability, and supportability of existing solutions.
• Data Lifecycle Management: Design, test, document, and implement a governed, auditable purge process that supports retention expectations, reduces unnecessary storage, and protects downstream dependencies.
• Consolidated Data Assets: Design and build trusted, reusable datasets, including consolidated patient, doctor, and employee tables, using agreed business definitions, governance standards, and validation rules.
• Dimensional Modeling: Develop and maintain scalable star-schema models and supporting technical specifications to improve query performance, simplify data consumption, and enable consistent metric definitions.
• Data Integration and Platform Engineering: Build and optimize data pipelines within a medallion architecture using Databricks, Python, APIs, and cloud services, ensuring secure, reliable, and cost-efficient data flow across systems.
• Documentation and Operational Readiness: Maintain data quality rules, lineage, technical designs, operating procedures, and support handoff materials to ensure long-term maintainability, compliance readiness, and effective production support.
• Collaboration and Delivery: Partner with data engineers, analysts, business stakeholders, and internal or third-party teams to clarify requirements, align definitions, communicate risks, and deliver measurable improvements while supporting committed project and production needs.

Power BI Dataflow Automation Governance CPT Coding Databricks Scalability Reliability Star Schema Data Quality Communication Data Analysis Cloud Services Data Pipelines Technical Debt Building Trust Microsoft Azure Data Governance Solution Design Maintainability Database Design Immigration Law Computer Science Data Warehousing Data Engineering Project Management Data Visualization Query Optimization Software Development Lifecycle Management Dimensional Modeling Operational Databases Operational Reporting Technical Documentation, * Degree or equivalent and typically requires 4+ years of relevant experience.

• 4+ years of experience in data engineering, analytics engineering, software development, computer science, or a related field, including experience delivering and supporting production data solutions.
• 4+ years of experience developing and optimizing data solutions in Databricks or Snowflake; Databricks preferred
• 4+ years of experience with Python and SQL for data pipeline, validation, automation, and application development
• Hands-on experience implementing data quality controls, monitoring, issue remediation, and reusable validation frameworks
• Experience with dimensional modeling, star schemas, database design, data warehousing, and consolidated enterprise data assets
• Ability to translate business rules into governed technical solutions and communicate complex concepts clearly to non-technical stakeholders
• Strong understanding of data governance, security, quality, lineage, retention, purge controls, and production support best practices

Preferred Skills/Experience:

• Must be comfortable and proficient working with large and/or complex databases

• Working knowledge with project management tools like Jira, Asana

• Strong knowledge of cloud platforms with Azure preferred

• Knowledge of data visualization tools such as Power BI, Tableau, or Looker., Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

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

$111,800 - $186,400

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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

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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.