Business Intelligence Engineer (Remote)

Full Details of Job Post

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.

The Commercialization Strategy and Innovation team is seeking a business intelligence engineer to support its data strategy. This role will support multiple product teams by developing, optimizing, and managing data solutions to meet business needs. The ideal candidate will have a strong background in data engineering, using Azure, Snowflake and/or Databricks, and Python to create data pipelines, integrate diverse datasets, and deliver actionable insights. This role requires someone who can collaborate across teams and effectively communicate complex technical concepts to non-technical stakeholders.

Key Responsibilities

• Data Pipeline Development: Design, implement, and maintain scalable data pipelines to ingest, process, and store large datasets from multiple product teams.
• Data Integration: Integrate various data sources across the organization using Snowflake, Databricks, and Azure technologies.
• Data Warehousing & Modeling: Develop and optimize data models in Snowflake and/or Databricks for reporting and analytics purposes.
• Collaboration with Product Teams: Work closely with different product teams to understand their data needs, ensuring timely and accurate delivery of data solutions.
• Data Quality Assurance: Establish data validation and integrity checks to ensure accuracy and consistency in data outputs.
• Automation: Automate data workflows and processes to enhance efficiency and reduce manual efforts.
• Application Development: Collaborate with frontend developers to integrate data-driven insights into web applications or other business intelligence technologies.

Minimum Requirement

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

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Critical Skills

• 3-5 years of experience in data engineering or a related field.
• Proven experience working with Azure, Snowflake and/or Databricks, and Python.
• Experience developing data pipelines and ETL processes in cloud environments.
• Demonstrated knowledge of database systems, data warehousing, and SQL.

Additional Skills

• Technical Proficiency:
  • Advanced knowledge of Azure services for data storage, processing, and integration.
  • Experience building analytic products on cloud platform or DB engines such as Snowflake and/or Databricks.  Proficient in visualization tools like Tableau, Power BI, or Looker
  • Proficiency in Python for general development, data processing, and automation.
• Data Modeling & Warehousing: Experience in designing efficient and scalable data models and data architecture to support reporting needs.
• Problem Solving: Ability to identify, troubleshoot, and resolve complex data-related issues in collaboration with cross-functional teams.
• Communication: Strong interpersonal and communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Project Management: Proven ability to manage and prioritize multiple projects in a fast-paced environment, delivering on time and within scope.

Salary: 105,200.00 - 140,200.00 - 175,300.00 USD Annual (Target 125K with 10% MIP)

P3

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.

Join us at McKesson!