Senior Data Ingestion Engineer - Cloud & APIs (Remote)

Agileengine; Municipio de Rincón de los Sauces; A distancia; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with USD payment

100% remote work

Argentina public holidays

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve enterprise customers. You will design, implement, and optimize ingestion pipelines, connectors, and APIs across AWS, Azure, and GCP environments, working closely with customers to meet security and performance requirements.

You will combine data engineering, software engineering, solution architecture, cloud infrastructure, and consulting to deliver scalable data solutions.

Formación

• 10+ years of professional software/data/ platform engineering or related experience.
• Strong proficiency in Python and Go and REST APIs.
• Experience building data ingestion pipelines and connectors.
• Experience with SQL and NoSQL databases and cloud platforms (AWS/Azure/GCP).
• Docker and Kubernetes proficiency; CI/CD practices.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments and constraints, delivering scalable ingestion solutions.
• Onboard customers, design architectures, and deploy production solutions.
• Optimize ingestion performance, reliability, and security.

Conocimientos

Python

Go

REST APIs

SQL

NoSQL

Data ingestion

Distributed systems

CI/CD

Customer-facing

Herramientas

Terraform

GitHub

Docker

Kubernetes

dbt

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve enterprise customers. You will design, implement, and optimize ingestion pipelines, connectors, and APIs across AWS, Azure, and GCP environments, working closely with customers to meet security and performance requirements.

You will combine data engineering, software engineering, solution architecture, cloud infrastructure, and consulting to deliver scalable data solutions.