Senior Data Ingestion Engineer (Python/Go) — Remote LATAM

Fullstack; Buenos Aires; Remote; ARS 185,357,000 - 278,035,000; 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 seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering org. You will design scalable ingestion pipelines and connectors while collaborating with customers to understand data sources, security requirements, and workflows.

This role blends data engineering, software engineering, architecture, cloud infrastructure, and technical consulting to deliver reliable, production-ready solutions across cloud

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Strong Python and Go development.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience integrating enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Git-based development workflows and CI/CD practices.
• Autonomy and ability to work with customers.

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 from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other 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 environments.
• Troubleshoot complex customer deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Eng., Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture and implementations.
• Identify recurring requirements and create reusable connectors or platform capabilities.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms (AWS/Azure/GCP)

SQL

NoSQL

Docker

Kubernetes

CI/CD

Tools

Git

CI/CD

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering org. You will design scalable ingestion pipelines and connectors while collaborating with customers to understand data sources, security requirements, and workflows.

This role blends data engineering, software engineering, architecture, cloud infrastructure, and technical consulting to deliver reliable, production-ready solutions across cloud