Senior Data Ingestion Engineer - Remote LATAM

Svitla Systems, Inc.; Neuquén; 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 seeking a Senior Data Engineer focused on data ingestion and integrations for an identity security platform. You will bridge enterprise customers and engineering, designing scalable data collectors, connectors, and ingestion pipelines across cloud ecosystems.

Role requires 10+ years in software/data engineering, strong Python/Go, REST APIs, and experience with AWS/Azure/GCP, Docker, and Kubernetes. Remote LATAM arrangement with customer-facing responsibilities included.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience integrating complex enterprise systems.
• Proficiency in SQL and NoSQL databases.
• Production cloud experience (AWS, Azure, GCP).
• Docker and Kubernetes in production.
• Git-based development workflows and CI/CD practices.
• Strong debugging skills and collaboration with customers.

Responsibilities

• Design, develop, and maintain 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 with enterprise customers to understand environments, data flows, APIs, security requirements, and constraints.
• Participate in onboarding from discovery to deployment.
• Design scalable ingestion architectures for high-volume data (security events, logs, identity activity, network telemetry).
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services in Python and/or Go.
• Work with SQL/NoSQL databases to store and analyze data.
• Operate containerized services with Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and Google Cloud Platform.
• Troubleshoot deployment and integration issues across layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor on data architecture and security integrations.
• Identify recurring requirements and create reusable connectors or platform improvements.
• Provide insights to the product roadmap and support production adoption.

Skills

Python

Go

REST APIs

Data ingestion

Integrations

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Tools

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations for an identity security platform. You will bridge enterprise customers and engineering, designing scalable data collectors, connectors, and ingestion pipelines across cloud ecosystems.

Role requires 10+ years in software/data engineering, strong Python/Go, REST APIs, and experience with AWS/Azure/GCP, Docker, and Kubernetes. Remote LATAM arrangement with customer-facing responsibilities included.