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

Xktalent Inc. - Rimutee; Santa Fe Capital; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

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 cybersecurity platform team and serve as a technical bridge between customers and engineering. You will design scalable ingestion pipelines, connect diverse data sources, and implement reliable data collectors.

This role emphasizes enterprise integrations and hands-on cloud work. You will work remotely from LATAM with a focus on customer success, collaboration with architects and

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 CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, and data pipelines.
• Experience working directly with customers and stakeholders.
• Ability to translate complex customer requirements into pragmatic technical solutions.

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 onboarding processes, from discovery and architecture design through 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 high-volume 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 multiple layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture, collection strategies, and implementation best practices.

Skills

Python

Go

REST APIs

Data ingestion

Ingestion pipelines

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our cybersecurity platform team and serve as a technical bridge between customers and engineering. You will design scalable ingestion pipelines, connect diverse data sources, and implement reliable data collectors.

This role emphasizes enterprise integrations and hands-on cloud work. You will work remotely from LATAM with a focus on customer success, collaboration with architects and