Data Engineer

Company Overview TrueScripts Management Services provides prescription benefit management expertise at a personal and customized level to ensure optimum value at the lowest possible cost for clients across the United States. The Information Technology team supports this mission by delivering secure, scalable, cloud-native technology solutions that improve business operations, enable efficient data exchange, and support future growth in analytics and artificial intelligence.

Position Summary

The Data Engineer is responsible for designing, building, deploying, and supporting cloud-native data platforms, integrations, and data pipelines that enable secure and reliable data exchange between internal applications, external business partners, operational systems, and analytics platforms. This role serves as a key technical resource supporting Application Engineers, business stakeholders, and external trading partners by ensuring data is accessible, trusted, secure, and available where and when it is needed.

The Data Engineer works closely with software development teams to deliver scalable data services, integration frameworks, and operational data solutions within Microsoft Azure. The ideal candidate combines strong technical expertise in data integration and cloud technologies with a practical understanding of business processes, application architecture, and healthcare data exchange. Responsibilities Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure.

Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns. Develop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and other external data trading partners. Design and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.

Collaborate closely with Application Engineers to design data access patterns, integration architectures, and reusable data services. Create and maintain operational data models that support application functionality and business processes. Build and support Azure-based storage platforms, databases, and data services that enable application and analytics workloads. Develop secure processes for exchanging data through APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other integration mechanisms as required.

Support real-time and near real-time data processing requirements where business needs warrant. Design and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations. Troubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments. Develop automation solutions that improve reliability, consistency, and operational efficiency.

Maintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies. Participate in architecture discussions and contribute recommendations related to scalability, reliability, performance, interoperability, and security. Utilize source control, CI/CD pipelines, and DevOps practices to support reliable deployment and maintenance of data solutions. Ensure compliance with company security standards and regulatory requirements related to healthcare and sensitive information.

Support AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets. Stay current with Microsoft Azure services, modern data engineering practices, and emerging technologies.