Senior Data Ingestion Engineer - Remote (LATAM)

1302 Argentina Delivery Center Company; Neuquén; Remote; ARS 139,312,000 - 232,187,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer to join our Identity Security/Cybersecurity platform project. You will design and maintain data collectors, ingestion services, and connectors in Python and Go, working closely with customers to understand data sources and security requirements.

You'll build scalable ingestion architectures across AWS/Azure/GCP, collaborate with solution architects, and help shape the product roadmap while delivering reliable, production-grade integrations in a fully

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers and translating requirements into pragmatic solutions.
• Strong communication skills and customer-facing experience.
• High degree of autonomy and ownership.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, networks, endpoints, apps, security platforms, and SIEM.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and constraints.
• Participate in onboarding from discovery to deployment.
• Design scalable ingestion architectures for security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and best practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture and security integrations.
• Identify recurring requirements and turn them into reusable connectors or platform improvements.
• Contribute insights from real-world implementations to the product roadmap.
• Support production adoption and faster value realization.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Integrations

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

SQL

NoSQL

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer to join our Identity Security/Cybersecurity platform project. You will design and maintain data collectors, ingestion services, and connectors in Python and Go, working closely with customers to understand data sources and security requirements.

You'll build scalable ingestion architectures across AWS/Azure/GCP, collaborate with solution architects, and help shape the product roadmap while delivering reliable, production-grade integrations in a fully