Senior Data Ingestion Engineer — Cloud Integrations (Remote LATAM)

Coder Technologies Inc.; La Pampa; Remote; ARS 106,019,000 - 181,747,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Public holidays (Argentina)

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) for a 100% remote position in LATAM to lead data ingestion and integrations for a cybersecurity platform. You will design connectors, ingestion pipelines, and scalable architectures, collaborating with enterprise customers and cross-functional teams.

The role emphasizes working with Python/Go, REST APIs, and cloud environments (AWS/Azure/GCP), and requires senior-level experience with data engineering within security-focused ecosystems.

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Proficiency in Python and Go and REST APIs.
• Experience building data ingestion pipelines and integration platforms.

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 directly with enterprise customers to understand environments and data flows.
• Build scalable ingestion architectures for security events, logs, identity activity, network telemetry.
• Deploy solutions across AWS, Azure, and GCP.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Distributed systems

SQL/NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) for a 100% remote position in LATAM to lead data ingestion and integrations for a cybersecurity platform. You will design connectors, ingestion pipelines, and scalable architectures, collaborating with enterprise customers and cross-functional teams.

The role emphasizes working with Python/Go, REST APIs, and cloud environments (AWS/Azure/GCP), and requires senior-level experience with data engineering within security-focused ecosystems.