Data Engineer
Posted 2ds ago
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Job Description
Data Engineer at McKesson developing scalable data solutions for healthcare. Collaborating with technical stakeholders to build reliable data pipelines and support analytics initiatives.
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.
Requirements:
- 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.
Benefits:
- Paid benefits
- Flexible hours
- On-site culinary team


















