Senior Data Ingestion Engineer — Remote LATAM

Agileengine, Llc.; Buenos Aires; A distancia; ARS 185.448.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations for an Identity Security platform. You will work with customer environments to design scalable ingestion pipelines, connectors, and services using Python/Go across cloud ecosystems.

You will engage directly with enterprise customers, translate complex requirements into pragmatic solutions, and help ensure reliable, secure data flows in AWS, Azure, and GCP.

Formación

• 10+ years of professional software/data engineering experience.
• Strong Python and Go development skills.
• Experience designing REST APIs and data ingestion pipelines.
• Experience with SQL and NoSQL databases.
• Hands-on with Docker and Kubernetes in cloud environments.
• CI/CD practices and Git workflows.
• Proven ability to integrate complex enterprise data sources.

Responsabilidades

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, and SIEM systems.
• Engage with customers to understand data flows and integration constraints.
• Build scalable ingestion architectures for high-volume data.
• Develop backend services using Python and/or Go.
• Operate containerized services with Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and GCP.
• Collaborate with cross-functional teams to improve product capabilities.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations for an Identity Security platform. You will work with customer environments to design scalable ingestion pipelines, connectors, and services using Python/Go across cloud ecosystems.

You will engage directly with enterprise customers, translate complex requirements into pragmatic solutions, and help ensure reliable, secure data flows in AWS, Azure, and GCP.