The Mulesoft Engineer is responsible for establishing best practices and architectural concepts for Mulesoft implementations. They will collaborate with cross-functional teams to influence requirements and recommend robust solution architectures.
The Salesforce Administrator will manage system architecture, security, and environment configurations while utilizing DevOps tools for deployments. They are responsible for user management, troubleshooting, and creating reports and dashboards to support business stakeholders.
The Clinical Analyst will perform medical-necessity reviews, manage prior authorizations, and handle claims or denials. They are also responsible for healthcare policy interpretation, case investigation, and maintaining detailed process documentation.
Design, develop, and maintain business intelligence dashboards, reports, and data solutions. Collaborate with stakeholders to gather reporting requirements and translate them into effective BI solutions.
Design, develop, and support full-stack and data integration solutions, including cloud-based and Salesforce applications. Define application architecture and ensure all development adheres to coding standards and best practices.
Develop and maintain responsive web applications using the Angular framework while translating UI/UX designs into high-quality code. Ensure code quality through reviews and the adoption of best practices and testing frameworks.
Lead the design and implementation of a Medallion Architecture-based Data Lakehouse and Enterprise Data Warehouse on AWS. Manage the development of scalable data pipelines and ensure healthcare data interoperability and regulatory compliance with HIPAA and CMS standards.
Design, develop, and maintain enterprise applications and secure integration architectures. Lead the development of FHIR APIs and cloud-based solutions using AWS.
The Administrative Support Specialist will provide administrative support, project coordination, and documentation services. Responsibilities include organizing meetings, tracking action items, and managing document versions.
The AI Engineer will build, deploy, and support AI/ML models within production environments. The role involves applying data engineering best practices to handle sensitive healthcare data for federal projects.
Develop and deploy enterprise full-stack applications using Java and modern front-end frameworks on AWS Cloud. Implement and manage DevSecOps practices, including CI/CD pipelines and containerized application deployment.
Develop secure, scalable, cloud-native applications across the full software development lifecycle in a federal technology environment. Contribute to architecture, automation, deployment, and production support using DevSecOps practices.
Design, code, and maintain data processing solutions and applications using Java, Kotlin, Scala, and Apache Spark. Optimize Spark applications and implement data loading and transformation for large-scale datasets.
