Senior Data Engineer: Data Ingestion & Cloud (Remote LATAM)

Acciona It; Tandil; Remote; ARS 138,998,000 - 185,331,000; 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 to join our Identity Security/Cybersecurity platform initiative. You will design and implement scalable ingestion mechanisms, work with Python and Go, and engage directly with customers to map data sources and security requirements.

This 100% remote role in LATAM offers a chance to shape enterprise data pipelines across cloud and on-prem environments, collaborating with solution architects and

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go development skills.
• Experience designing data ingestion pipelines and integration platforms.
• Proven ability to work with enterprise data sources and complex environments.
• Experience with cloud providers (AWS/Azure/GCP) and CI/CD practices.
• Ability to translate customer requirements into practical technical solutions.
• Strong communication and customer-facing skills.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work with customers to understand environments, data flows, APIs, and integration constraints.
• Participate in onboarding from discovery to production deployment.
• Design scalable ingestion architectures for 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, transform, query, and analyze data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering.
• Act as a trusted technical advisor on data architecture and security integrations.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our Identity Security/Cybersecurity platform initiative. You will design and implement scalable ingestion mechanisms, work with Python and Go, and engage directly with customers to map data sources and security requirements.

This 100% remote role in LATAM offers a chance to shape enterprise data pipelines across cloud and on-prem environments, collaborating with solution architects and