Senior Data Ingestion Engineer - Remote LATAM

Miratech; Municipio de Rincón de los Sauces; Remote; ARS 182,249,000 - 273,373,000; 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 seeking a Senior Data Engineer focused on data ingestion and integrations to join our remote LATAM team. You’ll design connectors, ingestion pipelines, and cloud-based solutions, working directly with customers to translate complex data landscapes into scalable platforms.

You will collaborate with solution architects, customer success, and engineering, building reliable data pipelines in AWS, Azure, and GCP, using Docker/Kubernetes, REST APIs, and CI/CD practices to deliver fast

Qualifications

• Over 10 years of professional software/data/ platform engineering experience.
• Strong Python and Go development experience.
• Experience designing REST APIs and data ingestion pipelines.
• Cloud platforms (AWS, Azure, GCP) and containerization with Docker/Kubernetes.
• Experience working directly with customers, translating complex requirements into technical solutions.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEMs, and security tools.
• Collaborate with customers to understand environments, data flows, APIs, and security constraints.
• Participate in onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, and identity activity.

Skills

Python

Go

REST APIs

Data ingestion

CI/CD

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Git workflows

Tools

AWS

Azure

GCP

SQL

NoSQL

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join our remote LATAM team. You’ll design connectors, ingestion pipelines, and cloud-based solutions, working directly with customers to translate complex data landscapes into scalable platforms.

You will collaborate with solution architects, customer success, and engineering, building reliable data pipelines in AWS, Azure, and GCP, using Docker/Kubernetes, REST APIs, and CI/CD practices to deliver fast