Senior Data Engineer - Remote, AI-Driven Data Pipelines

AgileEngine; León; Presencial; MXN 2.039.000 - 3.059.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth budgeting and learning

Competitive compensation

100% remote with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to own ingestion, orchestration, and the SSoT architecture for new product modules. You will build containerized data pipelines on AWS, integrate with AI APIs, and manage data lifecycle from extraction to UAT.

This role requires strong autonomy as there is no dedicated QA support during the initial build phase. You will work with Bedrock LLM layers, extend Python SDKs, and collaborate with DevOps for CI/CD and IaC, while maintaining high-quality data

Formación

• 5+ years in data engineering or backend building data pipelines and infra.
• Expert-level Python for containerized microservices and workers (ECS/EKS).
• Deep AWS data tools experience: S3, Glue, Athena.

Responsabilidades

• Build core ingestion pipelines from multiple data sources into AWS S3/Glue/Athena SSoT.
• Develop and maintain containerized Python workers (RQ/Celery) on EKS.
• Collaborate with Bedrock LLM layer and internal SDKs for data flows to AI layer.
• Extend Python SDKs to cover new services (ContentCreatorInsightsService).
• Own UAT for the data layer with limited QA support during initial build.
• Partner with DevOps teams for CI/CD (GitHub Actions, ArgoCD) and IaC (Terraform).

Conocimientos

Data engineering

Python

AWS

AI APIs

Unix/Linux

Communication

English

CI/CD

Terraform

Herramientas

ECS/EKS

GitHub Actions

Terraform

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to own ingestion, orchestration, and the SSoT architecture for new product modules. You will build containerized data pipelines on AWS, integrate with AI APIs, and manage data lifecycle from extraction to UAT.

This role requires strong autonomy as there is no dedicated QA support during the initial build phase. You will work with Bedrock LLM layers, extend Python SDKs, and collaborate with DevOps for CI/CD and IaC, while maintaining high-quality data