• Manage and resolve platform tickets related to data infrastructure and user access. • Design and maintain IaC modules and templates using Terraform. • Develop and enhance CI/CD framework components to support data platform deployments. • Write and maintain SQL queries and scripts to support troubleshooting and automation. • Build Python utilities and scripts to integrate with deployment frameworks and tooling. • Configure and manage user ID personas, permissions, and role mappings for platform access. • Collaborate with data engineers and stakeholders to prioritize platform fixes and enhancements. • Document operational procedures, runbooks, and deployment patterns for the team.

• Extraer, limpiar, transformar y almacenar los datos requeridos para los casos de uso • Diseñar y gestionar pipelines de integración de datos • Desarrollar ETLs y herramientas de analítica avanzada de alta calidad • Monitorear la estabilidad y ejecutar controles de calidad del pipeline de datos • Optimizar costos, rendimiento y seguridad de la información

Role Description MedPOINT Management in Sherman Oaks, CA is looking for a detail-oriented Credentialing Data Entry Clerk to join our growing team. This is a great opportunity to build a career in healthcare administration while playing a vital role in ensuring provider data accuracy and compliance. If you thrive in a fast-paced environment and have a passion for precision, we want to hear from you! Responsibilities: - Enter and maintain accurate provider credentialing data into internal systems and databases - Process and verify credentialing applications, licenses, and certifications for healthcare providers - Audit and update existing provider records to ensure data integrity and compliance - Coordinate with credentialing specialists to track application statuses and resolve discrepancies - Prepare and organize credentialing files and documentation in accordance with regulatory standards - Respond to internal inquiries regarding provider data and credentialing records - Support the credentialing team with administrative tasks and reporting as needed Qualifications - High school diploma or equivalent required; associate's degree or higher preferred - Prior experience in data entry, credentialing, or healthcare administration strongly preferred - Proficiency in Microsoft Office Suite, particularly Excel and Word - Strong attention to detail with a high degree of accuracy in data entry - Familiarity with NCQA, URAC, or other credentialing compliance standards is a plus - Excellent organizational and time management skills with ability to meet deadlines - Strong communication skills and ability to work collaboratively in a team environment Benefits - 401(k) - 401(k) matching - Company parties - Dental insurance - Employee discounts - Health insurance - Opportunity for advancement - Paid time off - Parental leave - Savings bank - Training & development - Vision insurance Company Description MedPOINT Management is a leading Independent Physician Association (IPA) management company based in Sherman Oaks, CA, dedicated to supporting healthcare providers and delivering high-quality managed care services. Our clients trust us for our expertise, reliability, and commitment to excellence in healthcare administration. Our employees enjoy a collaborative workplace culture, opportunities for professional growth, and the satisfaction of making a meaningful impact in the healthcare industry.

• Design, build and maintain scalable data pipelines using modern data engineering tools (e.g., dbt, Airflow, Prefect). • Develop and maintain dimensional and semantic data models to support analytics and operational use cases. • Build curated data products that support analytics and modern AI workloads. • Design data schemas and storage strategies optimized for both analytical and AI workloads. • Build and maintain version control workflows and isolated development/test environments. • Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency. • Contribute to the architecture and evolution of the organization's modern data platform. • Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.