Note: The job is a remote job and is open to candidates in USA. McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. They are seeking a hands-on Data Engineer to join their Data Engineering team, focusing on building and maintaining reliable data integrations and supporting analytics initiatives across the organization.
Responsibilities
- Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs
- Develop data ingestion and integration processes from a variety of structured and unstructured data sources
- Create and optimize data transformations using SQL, Databricks, and Azure-based technologies
- Support both batch and real-time data processing solutions
- Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets
- Troubleshoot and resolve data pipeline performance, reliability, and data quality issues
- Develop conceptual and logical data models based on business reporting requirements
- Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions
- Work with application development teams to understand source systems and build efficient data flows into enterprise data environments
- Support data governance initiatives through standardization, documentation, and quality controls
- Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data
- Communicate technical concepts clearly to both technical and non-technical audiences
- Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency
- Share knowledge and provide guidance to less experienced team members
Skills
- Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience
- 4+ years of experience in a dedicated Data Engineering role
- 4+ years of hands-on experience building and supporting data pipelines and data integration solutions
- Strong experience with Databricks in a production environment
- Strong SQL development skills
- Experience working with Azure-based data services
- Experience supporting reporting, analytics, systems integration, and data governance initiatives
- Demonstrated expertise in conceptual and logical data modeling
- Experience working with both structured and unstructured data
- Strong written and verbal communication skills
- Experience with data streaming and event-driven architectures such as Kafka
- Experience with Infrastructure as Code tools such as Terraform
- Experience supporting large-scale cloud migration or modernization programs
- Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies
- Experience supporting business-critical applications and highly available data platforms
- Experience mentoring junior engineers or providing technical guidance within a collaborative team environment
Benefits
- Competitive compensation package
- Annual bonus or long-term incentive opportunities
- For more information regarding benefits at McKesson, please click here.
- McKesson is an Equal Opportunity Employer
- McKesson provides 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.
- McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers 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 (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca.
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