Data Ops Engineer

Job not on LinkedIn

4 hours ago

🎸 Tennessee – Remote

Although this job is listed in Tennessee, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

🦅 H1B Visa Sponsor

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McKesson

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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.

10,000+ employees

Founded 1833

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧬 Biotechnology

📋 Description

• Design and implement scalable and efficient data pipelines to support various data-driven initiatives. • Collaborate with cross-functional teams to understand data requirements and contribute to the development of data architecture. • Work on data integration projects ensuring seamless and optimized data flow between systems. • Implement best practices for data engineering ensuring data quality, reliability, and performance. • Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows. • Create and maintain technical documentation including data mapping documents and data dictionaries. • Effectively communicate technical concepts to both technical and non-technical stakeholders. • Automation and promotions to different environments using GitHub CICD with GitHub Actions/Liquibase.

🎯 Requirements

• 5+ years of experience in data engineering. • Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Data Science). • Technical expertise in building and optimizing data pipelines and large-scale processing systems. • Technical expertise with Azure Cloud, Data Factory, Batch Service, and Databricks. • Experience with cloud solutions and contributing to data modernization efforts. • Experience using Terraform and bicep scripts to build Azure infrastructure. • Experience implementing security changes using Azure RBAC. • Experience building cloud infrastructure including Data Factory, Batch Service, Azure Gen 2 Storage Account, and Azure SQL database. • Experience developing data pipelines through programming languages such as SQL, Python, Pyspark, or Scala. • Strong problem-solving skills and attention to detail.

🏖️ Benefits

• Comprehensive benefits to support physical, mental, and financial well-being. • Total Rewards package includes healthcare and wellness programs.