Senior Data Engineer: Ingestion & Connectors (Remote LATAM)

Improving South America; La Pampa; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Contractor payments in USD

100% remote work

Argentina public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will work directly with enterprise customers to design scalable ingestion pipelines and connectors, ingesting data from diverse sources including cloud platforms and security systems.

You will develop backend services in Python and/or Go, build and operate Docker/Kubernetes containers, and deploy solutions across AWS, Azure, and GCP, while ensuring reliability and

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 SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures.
• 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.
• Troubleshoot customer deployment and integration issues across layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

AWS

GCP

Azure

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will work directly with enterprise customers to design scalable ingestion pipelines and connectors, ingesting data from diverse sources including cloud platforms and security systems.

You will develop backend services in Python and/or Go, build and operate Docker/Kubernetes containers, and deploy solutions across AWS, Azure, and GCP, while ensuring reliability and