Senior Data Ingestion & Connectors Engineer – Remote

Agileengine, Llc.; Ciudad de Mendoza; Remote; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is a Latin American technology company seeking a Senior Data Engineer focused on data ingestion and connectors for a cybersecurity platform. The role involves building scalable ingestion pipelines, integrating data from identity providers, cloud services, SIEMs, and security tooling, while working with customers to design robust data flows.

You will combine data engineering, software engineering, and cloud infrastructure, delivering reliable integrations and ensuring security and

Qualifications

• 10+ years of professional software or data engineering experience.
• Expert in Python and Go with data ingestion pipelines.
• Experience with cloud platforms and customer-facing deployments.

Responsibilities

• Design, develop, and maintain data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes, from initial discovery and architecture design through 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

10+ years

Python

Go

REST APIs

Data ingestion

Enterprise system integration

SQL/NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Distributed systems

Customer-facing communication

Tools

Docker

Kubernetes

CI/CD

Cloud SDKs

Job description

Darwoft is a Latin American technology company seeking a Senior Data Engineer focused on data ingestion and connectors for a cybersecurity platform. The role involves building scalable ingestion pipelines, integrating data from identity providers, cloud services, SIEMs, and security tooling, while working with customers to design robust data flows.

You will combine data engineering, software engineering, and cloud infrastructure, delivering reliable integrations and ensuring security and