Note: The job is a remote job and is open to candidates in USA. CoverMyMeds is a part of McKesson, a Fortune 10 company focused on improving healthcare accessibility. They are seeking a hands-on Data Engineer to design, develop, and support scalable data pipelines and solutions that enhance analytics and reporting 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 at McKesson as part of our Total Rewards
- Annual bonus or long-term incentive opportunities may be offered
- For more information regarding benefits at McKesson, please click here.
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