Senior Data Ingestion Engineer — Remote (LATAM)

Caramel Point; Buenos Aires; Remote; ARS 185,331,000 - 277,997,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

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, connectors, and integrations for a cybersecurity platform. You will collaborate with enterprise customers, architects, and engineers to design scalable ingestion pipelines across cloud providers and on-prem ecosystems.

You will work with Python/Go, REST APIs, and containerized services, delivering reliable data collection across AWS/Azure/GCP in a remote LATAM setup.

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.

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 and architecture design to production deployment.
• Design scalable ingestion architectures for processing 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 modern software engineering 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 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 a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Distributed systems

CI/CD

Customer-facing

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Git

Tools

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a cybersecurity platform. You will collaborate with enterprise customers, architects, and engineers to design scalable ingestion pipelines across cloud providers and on-prem ecosystems.

You will work with Python/Go, REST APIs, and containerized services, delivering reliable data collection across AWS/Azure/GCP in a remote LATAM setup.