Cloud Data Engineer III: Scalable Analytics & Pipelines

MicroHealth LLC; Vienna (VA); Presencial; USD 130 000 - 150 000; Tempo integral

Resumo da oferta

MicroHealth LLC is seeking a Data Engineer – Level III to deploy, configure and sustain cloud-based analytics platforms. The role will design scalable data pipelines, transformation processes, storage architectures and analytics integration while applying best practices in cloud engineering and data management.

The position is planned and requires strong cloud data ecosystem expertise, API-driven data collection, and collaboration with cross-functional teams to advance enterprise data

Qualificações

• Bachelor's degree in CS, IS, Engineering, Mathematics, or related field.
• Minimum 8 years in cloud engineering, data engineering, software development, or related technical disciplines.
• Experience with Azure, AWS or GCP and relevant cloud certifications.

Responsabilidades

• Provide technical expertise in deployment, configuration, and sustainment of cloud-based analytics platforms.
• Design and implement scalable data engineering solutions, including data ingestion pipelines, transformation processes, and storage architectures.
• Develop and maintain APIs and microservices to facilitate automated data collection and ingestion from source code repositories and other enterprise systems.
• Apply cloud engineering, data management, and software development best practices to ensure secure, scalable, and reliable operations.
• Implement data governance, security, and monitoring practices across data engineering solutions.
• Collaborate with cross-functional teams to support enterprise data initiatives and analytics objectives.

Conhecimentos

Data engineering

Cloud computing

APIs

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Azure

AWS

GCP

APIs

Descrição da oferta de emprego

MicroHealth LLC is seeking a Data Engineer – Level III to deploy, configure and sustain cloud-based analytics platforms. The role will design scalable data pipelines, transformation processes, storage architectures and analytics integration while applying best practices in cloud engineering and data management.

The position is planned and requires strong cloud data ecosystem expertise, API-driven data collection, and collaboration with cross-functional teams to advance enterprise data