Data Engineer

• Design and implement scalable data pipelines, data warehouses, and data lakes to efficiently capture, store, and process large volumes of healthcare data from diverse sources.
• Lead the development and deployment of advanced analytics models, including machine learning and predictive modeling, to identify trends, predict risks, and optimize pricing, underwriting, and claims processes.
• Collaborate with cross-functional IT, vendor and business teams across the organization to translate data insights into actionable business strategies, improving customer and provider experience and operational efficiency.
• Contribute to the development of a world-class data platform that supports data science, analytics, product, and engineering needs across the company.
• Champion and ensure the privacy and security of our customers' data.
• Provide leadership and guidance to your teams, fostering a culture of excellence, collaboration, and accountability.
• Own Data Jira boards that include creating stories, assigning responsibility, and reporting progress.
• Security and Compliance: Ensure that all solutions adhere to industry standards, including HIPAA compliance and data security best practices.
• Quality Assurance: Work with the Quality Engineering team to ensure that solutions are thoroughly tested and meet quality standards before deployment.
• Performance Optimization: Continuously assess and optimize system performance, identifying and addressing potential bottlenecks and areas for improvement.
• Innovation: Stay up to date with emerging technologies and industry trends, identifying opportunities to leverage new solutions to improve our products and services.
• Process Improvement: Identify and implement process improvements that enhance the efficiency and effectiveness of the architecture function.

Principal Data Engineer

Staff Data Engineer

Data Engineer

Staff Engineer, Dataops Engineer

Data Engineer