Senior Data Engineer: Ingestion & Integrations (Remote LATAM)

Arionkoder; La Pampa; Remote; ARS 185,357,000 - 278,035,000; Full time

Benefits offered by this job

Remote work

Public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion and connectors for a cybersecurity identity platform. You’ll design scalable ingestion pipelines, integrate diverse data sources, and partner with customers to understand their data architectures.

Proficiency in Python and Go, plus cloud and containerization, are essential. You will work remotely with LATAM clients, contribute to architectural decisions, and help improve time-to-value for enterprise deployments while upholding

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.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform: AWS, Azure, GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.

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 through 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 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.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

SQL

NoSQL

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and connectors for a cybersecurity identity platform. You’ll design scalable ingestion pipelines, integrate diverse data sources, and partner with customers to understand their data architectures.

Proficiency in Python and Go, plus cloud and containerization, are essential. You will work remotely with LATAM clients, contribute to architectural decisions, and help improve time-to-value for enterprise deployments while upholding