Senior Cloud Data Platform Engineer - Remote

Dexcom, Inc; San Diego (CA); A distancia; USD 117.000 - 194.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Full benefits package

Career development opportunities

Global opportunities

Descripción de la vacante

Dexcom Corporation in the San Diego area is seeking a data and AI platform engineer to design, build, and scale end-to-end data pipelines powering ingestion, processing, storage and APIs for internal and external use. You will collaborate with data engineers, AI/ML engineers, and platform teams to deliver reliable, scalable data products and AI-enabled insights for mobile and enterprise applications.

A Bachelor's in a technical field and 5–8 years of related experience are expected.

Formación

• Bachelor's degree in a technical field is required.
• Hands-on experience building distributed systems, AI services, or data platforms.
• Experience designing and consuming RESTful or gRPC APIs.
• Strong knowledge of cloud platforms (AWS/Azure/GCP) and cloud-native services.

Responsabilidades

• Design, build, and maintain end-to-end data pipelines for large-scale ingestion, transformation, and storage.
• Develop cloud-based backend services and APIs exposing trusted data to internal/external systems.
• Collaborate with Data Engineers, AI/ML Engineers, and Platform teams to integrate AI insights into production systems.
• Ensure reliability, performance, and data quality with clean architecture and automation.

Conocimientos

Distributed systems

AI services

Data pipelines

APIs (RESTful / gRPC)

Cloud platforms (AWS/Azure/GCP)

CI/CD

Version control

Automated testing

Claude code / AI development tools

Educación

Bachelor's degree in CS / IS / Math / Engineering

Descripción del empleo

Dexcom Corporation in the San Diego area is seeking a data and AI platform engineer to design, build, and scale end-to-end data pipelines powering ingestion, processing, storage and APIs for internal and external use. You will collaborate with data engineers, AI/ML engineers, and platform teams to deliver reliable, scalable data products and AI-enabled insights for mobile and enterprise applications.

A Bachelor's in a technical field and 5–8 years of related experience are expected.