Senior Data Ingestion Engineer — Remote (LATAM)

Unavailable; La Pampa; Remote; ARS 139,364,000 - 232,274,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

English classes

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM setup. You will work closely with customers to design scalable ingestion pipelines, connectors, and backend services in Python and/or Go, deploying across AWS, Azure, and GCP.

This role blends data engineering, software engineering, and security-focused integration.) The position emphasizes reliability, security, and rapid time-to-production in complex enterprise environments with

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.

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 and security requirements.
• Participate in technical onboarding, architecture design, and production 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 practices.
• 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 environments.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

CI/CD

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM setup. You will work closely with customers to design scalable ingestion pipelines, connectors, and backend services in Python and/or Go, deploying across AWS, Azure, and GCP.

This role blends data engineering, software engineering, and security-focused integration.) The position emphasizes reliability, security, and rapid time-to-production in complex enterprise environments with