Senior Data Ingestion Engineer - Remote LATAM

Agileengine, Llc.; La Pampa; Remoto; ARS 185.448.000 - 293.627.000; Tempo pieno

Vantaggi offerti da questo lavoro

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descrizione del lavoro

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will work directly with enterprise customers to design scalable ingestion pipelines and connectors across cloud and security domains.

The role blends data engineering, software engineering, solution architecture, and consulting, requiring strong customer-facing communication and autonomy.

Competenze

• 10+ years of professional software/data engineering or related experience.
• Strong proficiency in Python and Go.
• Hands-on with data ingestion pipelines, connectors, and integration platforms.
• Experience with SQL and NoSQL databases.
• Experience with Docker and Kubernetes in production.
• Experience deploying to AWS, Azure, or GCP.

Mansioni

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEMs.
• Collaborate with customers to understand environments and data flows for integration.
• Build scalable ingestion architectures for security events, logs, and telemetry.
• Develop backend services using Python and/or Go and work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy across cloud environments.

Conoscenze

Python

Go

REST APIs

Data ingestion

Distributed systems

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

Strumenti

AWS

Azure

GCP

Git CI/CD

Descrizione del lavoro

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will work directly with enterprise customers to design scalable ingestion pipelines and connectors across cloud and security domains.

The role blends data engineering, software engineering, solution architecture, and consulting, requiring strong customer-facing communication and autonomy.