Remote Senior Data Ingestion Engineer (Cloud) LATAM

Coder Technologies Inc.; Buenos Aires; Remote; ARS 139,086,000 - 200,903,000; 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 for a next‑generation Identity Security platform. The role combines data engineering, software engineering, and technical consulting to ingest data from diverse enterprise sources into the platform.

You will work directly with customers to understand architectures, data sources, and workflows, designing reliable ingestion pipelines and scalable connectors using Python/Go, REST APIs, and cloud

Qualifications

• 10+ years of professional software/ data/ platform engineering or related experience.

Responsibilities

• Design, build, and maintain production-grade data ingestion services and connectors.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work with customers to understand environments, data flows, security requirements, and integration constraints.
• Design scalable ingestion architectures for high-volume data sources like security events and logs.
• Develop backend services using Python and/or Go and run them in Docker/Kubernetes.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Customer-facing

Distributed systems

Tools

Python

Go

REST APIs

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next‑generation Identity Security platform. The role combines data engineering, software engineering, and technical consulting to ingest data from diverse enterprise sources into the platform.

You will work directly with customers to understand architectures, data sources, and workflows, designing reliable ingestion pipelines and scalable connectors using Python/Go, REST APIs, and cloud