Senior Data Ingestion & Integrations Engineer (Remote)

GlobalLogic Inc.; Neuquén; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Contractor 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 for a remote LATAM role. You will collaborate with enterprise customers to design scalable ingestion solutions and connectors, working across cloud platforms and security data streams.

You will develop backend services in Python and/or Go, build Docker/Kubernetes-based deployments, and integrate data from diverse enterprise sources, including SIEMs and identity providers.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Hands-on experience building data ingestion pipelines, connector frameworks, or integration platforms.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with major cloud platforms (AWS, Azure, or GCP).
• Experience with Docker and Kubernetes and CI/CD practices.
• Strong communication and customer-facing skills.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEMs, and security tools.
• Work directly with customers to understand environments, data flows, APIs, and integration constraints.
• Participate in onboarding, architecture design, and deployment for production use.
• Design scalable ingestion architectures for high-volume data such as security events and logs.
• 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, and query 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 application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with cross-functional teams and act as trusted advisor on data architecture.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM role. You will collaborate with enterprise customers to design scalable ingestion solutions and connectors, working across cloud platforms and security data streams.

You will develop backend services in Python and/or Go, build Docker/Kubernetes-based deployments, and integrate data from diverse enterprise sources, including SIEMs and identity providers.