Data Engineer

CoxHealth is a leading healthcare provider committed to delivering high-quality medical services and innovative healthcare solutions. The Senior Data Engineer will design, develop, and implement scalable data solutions that support the organization’s strategic objectives, collaborating with cross-functional teams to facilitate data-driven decision-making processes.

Responsibilities:

• Lead the design, development, and deployment of scalable data pipelines and architectures to support enterprise-wide analytics and reporting needs
• Collaborate with cross-functional teams to gather requirements, define data strategies, and implement solutions aligned with organizational goals
• Ensure data quality, integrity, and security across all platforms, adhering to regulatory and compliance standards
• Manage and optimize data lakes, data warehouses, and other storage solutions to facilitate efficient data access and analysis
• Implement and maintain data governance policies, ensuring compliance with healthcare regulations such as HIPAA
• Mentor and lead junior data engineers, fostering a culture of continuous learning and technical excellence
• Stay updated with emerging data technologies and industry best practices, recommending innovative solutions to enhance data infrastructure
• Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability of data services
• Document data architecture, workflows, and processes to support transparency and knowledge sharing across teams

Requirements:

• Minimum of 4 years of experience working with data in clinical, financial, or enterprise domains, or a Bachelor's degree in a relevant field with at least 2 years of experience
• Proficiency in relational and non-relational databases, with a strong understanding of database design, optimization, and management
• Expertise in data integration and orchestration tools to streamline data workflows and ensure seamless data movement across systems
• Advanced knowledge of big data technologies such as Hadoop, Spark, and related ecosystems
• Hands-on experience with data lakes, data warehouses, and cloud-based data storage solutions
• Demonstrated leadership skills with experience in strategic planning and project management
• Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders
• Strong problem-solving abilities and a proactive approach to innovative data solutions
• Bachelor's degree in Management Information Systems, Computer Science, Data & Analytics, or a related quantitative discipline, or equivalent professional experience