Senior Data Ingestion & Integrations Engineer - Remote LATAM

Coder Technologies Inc.; La Pampa; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote LATAM engagement. You will design and implement scalable ingestion pipelines, connect with identity providers, cloud platforms, and SIEM systems, and work directly with customers to translate requirements into robust data solutions.

You will develop backend services in Python and/or Go, build on cloud platforms (AWS/Azure/GCP), and operate containerized services with Docker and

Qualifications

• 10+ years in Software/Data/Platform Eng roles.
• Experience building data ingestion pipelines and connectors.
• Strong hands-on experience with Python and/or Go.

Responsibilities

• Design and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments and integration constraints.
• Develop scalable ingestion architectures for high-volume data like events and logs.
• Deploy and operate containerized services with Docker and Kubernetes.

Skills

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Cloud (AWS/Azure/GCP)

Docker

Kubernetes

Tools

SQL databases

NoSQL databases

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote LATAM engagement. You will design and implement scalable ingestion pipelines, connect with identity providers, cloud platforms, and SIEM systems, and work directly with customers to translate requirements into robust data solutions.

You will develop backend services in Python and/or Go, build on cloud platforms (AWS/Azure/GCP), and operate containerized services with Docker and