Senior Data Ingestion & Integrations Engineer - Remote LATAM

Hire Hangar, Inc.; La Pampa; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Contractor agreement with payment in  

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will work directly with customers to design scalable ingestion pipelines, build connectors, and integrate data from complex enterprise environments into a cybersecurity platform.

Ideal candidates have 10+ years in software/data engineering, proficiency in Python and Go, and experience with REST APIs, cloud platforms (AWS/Azure/GCP), Docker, and Kubernetes.

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and integration platforms.
• Experience integrating enterprise systems.
• Strong SQL and NoSQL knowledge.
• Cloud experience with AWS/Azure/GCP.
• Docker and Kubernetes familiarity.
• CI/CD practices and tooling.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, and integration constraints.
• Participate in onboarding, architecture design, and deployment.
• Design scalable ingestion architectures for processing security events, logs, and identity activity.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Customer-facing communication

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will work directly with customers to design scalable ingestion pipelines, build connectors, and integrate data from complex enterprise environments into a cybersecurity platform.

Ideal candidates have 10+ years in software/data engineering, proficiency in Python and Go, and experience with REST APIs, cloud platforms (AWS/Azure/GCP), Docker, and Kubernetes.