Senior Data Ingestion Engineer - Remote (LATAM)

Jobgether; Ciudad de Mendoza; Remote; ARS 139,364,000 - 201,304,000; 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

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will work with identity security platforms, cloud services, and enterprise data sources to design scalable ingestion solutions.

You will collaborate with customers and cross-functional teams to implement reliable connectors, deploy in AWS/Azure/GCP, and deliver high-volume data pipelines with strong security and scalability.

Qualifications

• Strong software development with Python and Go and production-grade data ingestion skills.
• Experience building connectors, ingestion pipelines, and integration platforms.
• Proven ability to work with cloud services and distributed systems.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments and constraints 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 using Docker and Kubernetes and deploy across AWS, Azure, GCP.

Skills

Python

Go

REST APIs

Data ingestion

Distributed systems

Customer-facing

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will work with identity security platforms, cloud services, and enterprise data sources to design scalable ingestion solutions.

You will collaborate with customers and cross-functional teams to implement reliable connectors, deploy in AWS/Azure/GCP, and deliver high-volume data pipelines with strong security and scalability.