Senior Data Ingestion Engineer for Cloud Integrations (Remote LATAM)

Agileengine, Llc.; Rosario; Remote; ARS 108,394,000 - 170,334,000; 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 to design and own data ingestion connectors for our Identity Security platform. You’ll work directly with customers to understand data sources, security requirements, and workflows, then build scalable pipelines in cloud environments.

You’ll merge data engineering, software engineering, and consultant roles to deliver reliable, secure ingestion services. This is a 100% remote role serving LATAM with a focus on production-grade solutions.

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 cloud services (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Experience with SQL and NoSQL databases.
• Experience working with customers or stakeholders.

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.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data.
• 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, transform, query, and analyze 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 layers.
• Optimize ingestion performance, reliability, scalability, and efficiency.

Skills

Python

Go

REST APIs

Data ingestion

Cloud know-how

Tools

Docker

Kubernetes

SQL

NoSQL

Job description

Darwoft is seeking a Senior Data Engineer to design and own data ingestion connectors for our Identity Security platform. You’ll work directly with customers to understand data sources, security requirements, and workflows, then build scalable pipelines in cloud environments.

You’ll merge data engineering, software engineering, and consultant roles to deliver reliable, secure ingestion services. This is a 100% remote role serving LATAM with a focus on production-grade solutions.