Lead Data Engineer

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🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $138.8k - $231.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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McKesson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1833

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧬 Biotechnology

Healthcare Insurance • Pharmaceuticals • Biotechnology

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

• Own and manage day-to-day operations of Data & Analytics platforms, ensuring SLA-driven support and service delivery • Support cross-functional teams by delivering data insights for complex business problems • Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes • Gather requirements, define data models, and support solution design with architects and engineering teams • Perform data exploration, analysis, and maintain data definitions, business rules, and lineage • Drive documentation, testing (functional, regression, exploratory), and execution of test plans • Build, enhance, and support scalable data pipelines (batch and real-time) across multiple systems • Implement data governance practices and promote data literacy across the organization • Identify and address technical debt; continuously improve and optimize processes • Monitor, troubleshoot, and tune performance of data platforms and analytical solutions • Champion automation-first, enterprise-first, and reusable solution design principles • Support infrastructure and cloud-based solutions including SaaS, PaaS, IaaS, and IaC practices • Communicate insights and results through reporting and presentations

🎯 Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field • 7+ years of experience in data analytics or data engineering • At least 2 years of experience in a leadership or mentorship role • Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory • Proficiency in SQL, Python, and/or R for data analysis and engineering • Experience with reporting and visualization tools such as Power BI • Knowledge of legacy and enterprise systems such as SAP, SQL Server, DataStage, and Unix scripting • Strong understanding of data engineering, analytics, and large-scale data processing • Experience with distributed data processing tools (e.g., PySpark) • Familiarity with tools like Splunk, Alation, and data governance frameworks

🏖️ Benefits

• Competitive compensation • Health insurance • Flexible work arrangements • Professional development opportunities • Annual bonus or long-term incentive opportunities