Remote Senior Data Ingestion Engineer – Connectors

Agileengine, Llc.; Rosario; Remote; ARS 131,622,000 - 216,789,000; Full time

Benefits offered by this job

Contractor agreement with payment in 3

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, connectors, and integrations for an Identity Security platform. You will work closely with customers to understand architectures, data sources, and security requirements, designing scalable ingestion pipelines and reliable data flows.

The role blends data engineering with solution architecture and cloud infrastructure, delivering production-grade connectors and ingestion services across AWS, Azure, and GCP environments.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with Docker and Kubernetes.
• Production cloud experience (AWS/Azure/GCP).
• Strong SQL and NoSQL knowledge.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work directly with customers to understand environments, data flows, and APIs.
• Participate in onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events and logs.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for an Identity Security platform. You will work closely with customers to understand architectures, data sources, and security requirements, designing scalable ingestion pipelines and reliable data flows.

The role blends data engineering with solution architecture and cloud infrastructure, delivering production-grade connectors and ingestion services across AWS, Azure, and GCP environments.