Senior Data Ingestion Engineer - Remote LATAM

Caramel Point; Quilmes; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Payment in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering. You’ll design scalable ingestion pipelines and connectors, working with Python and Go to ingest data from diverse enterprise sources into our cybersecurity platform.

You will collaborate across customers and teams, building reliable systems for secure, scalable data flows in a 100% remote LATAM environment. Prior customer-facing experience is valued.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• 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.

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 deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and 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 deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor around data architecture, collection strategies, security integrations, and best practices.

Skills

Python

Go

Data ingestion

REST APIs

Docker

Kubernetes

Cloud platforms

SQL

NoSQL

CI/CD

Customer-facing

Analytics

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering. You’ll design scalable ingestion pipelines and connectors, working with Python and Go to ingest data from diverse enterprise sources into our cybersecurity platform.

You will collaborate across customers and teams, building reliable systems for secure, scalable data flows in a 100% remote LATAM environment. Prior customer-facing experience is valued.