Data Engineer

Job not on LinkedIn

🕒 July 17

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $106.5k - $177.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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McKesson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1833

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

McKesson is a diversified healthcare leader specializing in pharmaceutical distribution, medical supplies, and healthcare services. Their solutions facilitate patients' access to life-changing therapies, support efficient operations for pharmacies, health systems, and clinics, and address critical issues such as drug shortages through a resilient supply chain. McKesson provides comprehensive services such as pharmacy management software, consulting, and technology solutions for specialty practices, focusing on improving health outcomes and advancing the pharmaceutical industry. They work closely with biopharma companies to enhance medication access, adherence, and commercialization while supporting oncology and biopharma practices through data-driven insights and real-world evidence.

📋 Description

• 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