Senior Data Engineer — Remote AI Data Pipelines

AgileEngine, LLC.; Mar del Plata; Presencial; ARS 1.800.000 - 3.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Engineer to own ingestion, pipeline orchestration, and the Single Source of Truth for new product modules. You will build containerized data pipelines on AWS, integrate AI APIs, and manage data lifecycle from extraction through UAT.

Autonomy is essential during the initial build phase. You will work with Bedrock LLM and internal SDKs, extend Python SDKs, and collaborate with DevOps for CI/CD and IaC.

Formación

• 5+ years of heavy Data Engineering or Backend experience focused on data pipelines and infrastructure.
• Expert-level Python skills for containerized microservices and workers (ECS/EKS).
• Deep experience with AWS data infrastructure (S3, Glue, Athena) and AI API integrations.

Responsabilidades

• Construct core ingestion pipelines pulling data from multiple sources into AWS S3/Glue/Athena SSoT.
• Write and maintain containerized Python workers (RQ/Celery) on EKS.
• Collaborate with Bedrock LLM layer and internal SDKs for AI orchestration.
• Extend internal SDKs to cover new services.
• Own UAT for the data layer in absence of dedicated QA.
• Collaborate with DevOps for CI/CD (GitHub Actions, ArgoCD) and Terraform IaC.

Conocimientos

Python

Data pipelines

Containerized microservices

CI/CD

Communication & interview skills

Herramientas

AWS S3

AWS Glue

Amazon Athena

ECS

EKS

GitHub Actions

ArgoCD

Terraform

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Engineer to own ingestion, pipeline orchestration, and the Single Source of Truth for new product modules. You will build containerized data pipelines on AWS, integrate AI APIs, and manage data lifecycle from extraction through UAT.

Autonomy is essential during the initial build phase. You will work with Bedrock LLM and internal SDKs, extend Python SDKs, and collaborate with DevOps for CI/CD and IaC.