Remote Senior Data Ingestion Engineer (Python/Go)

Agileengine, Llc.; Rosario; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to act as a bridge between enterprise customers and the engineering team. This 100% remote role is structured for LATAM-based clients and involves designing scalable ingestion pipelines across cloud environments.

You will work directly with customers, craft reliable data connectors, and leverage Python/Go to enable ingestion of security events, logs, and identity data.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.

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, SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery through production deployment.
• Design scalable ingestion architectures for processing security events, logs, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store and query high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across multiple layers.
• Optimize ingestion performance, reliability, and scalability.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud data processing

SQL

NoSQL

Distributed systems

Data engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to act as a bridge between enterprise customers and the engineering team. This 100% remote role is structured for LATAM-based clients and involves designing scalable ingestion pipelines across cloud environments.

You will work directly with customers, craft reliable data connectors, and leverage Python/Go to enable ingestion of security events, logs, and identity data.