Senior Data Ingestion Engineer - Remote LATAM

Agileengine, Llc.; La Pampa; Remote; ARS 185,819,000 - 278,728,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Agileengine, Llc. is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for a cybersecurity platform. Remote LATAM work with engagement as a full-time role.

You will partner with customers to design scalable ingestion pipelines, integrate diverse data sources, and build reliable, secure data flows. The ideal candidate has 10+ years of experience in software/data engineering, strong Python/Go skills, and hands-on experience with Docker, Kubernetes,

Qualifications

• 10+ years of professional software/data engineering or related experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEM systems, and network infrastructure.
• Work with customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Build scalable ingestion architectures for high-volume data sources like security events, logs, and telemetry.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

Tools

Docker

Kubernetes

REST APIs

AWS

Azure

GCP

Job description

Agileengine, Llc. is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for a cybersecurity platform. Remote LATAM work with engagement as a full-time role.

You will partner with customers to design scalable ingestion pipelines, integrate diverse data sources, and build reliable, secure data flows. The ideal candidate has 10+ years of experience in software/data engineering, strong Python/Go skills, and hands-on experience with Docker, Kubernetes,