Senior Data Engineer: Ingestion & Integrations (Remote LATAM)

T2S - Group International . Your Partner In Executive Search; La Pampa; Remote; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

Contractor agreement with payment in 0

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines, work with Python/Go, and implement reliable connectors across cloud and on-prem environments.

You will collaborate with architects, sales engineering, and customer success to ensure fast time-to-value and robust data architectures for identity security platforms.

Qualifications

• 10+ years in software/data engineering or related fields.
• Strong backend software development experience in Python and Go.
• Experience building data ingestion pipelines and integrations.
• Proven ability to design scalable ingestion architectures for high-volume data.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work directly with customers to understand environments, data flows, and integration constraints.
• Participate in onboarding from discovery to production deployment.
• Design scalable ingestion architectures for security events, logs, and telemetry.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

CI/CD

AWS

Azure

GCP

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines, work with Python/Go, and implement reliable connectors across cloud and on-prem environments.

You will collaborate with architects, sales engineering, and customer success to ensure fast time-to-value and robust data architectures for identity security platforms.