Senior Data Ingestion Engineer — Remote

Miratech; La Pampa; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering teams. You will design scalable ingestion pipelines and connectors across cloud environments, emphasizing reliability and security.

You'll work directly with customers to map data sources, APIs, and workflows, delivering production-grade data collectors using Python and Go, Docker, and Kubernetes in AWS/Azure/GCP ecosystems.

Qualifications

• 10+ years of professional software/data engineering/related experience.
• Strong Python and Go programming experience.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and connectors.
• Experience with Docker and Kubernetes.
• Proficiency with SQL and NoSQL databases.
• Production cloud experience (AWS/Azure/GCP).

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, SASE, and SIEM systems.
• Collaborate with customers to understand environments, data flows, and integration constraints.
• Build scalable ingestion architectures for high-volume data such as events, logs, and identity activity.
• Develop backend services using Python and/or Go and operate containerized services with Docker/Kubernetes.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

Job description

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering teams. You will design scalable ingestion pipelines and connectors across cloud environments, emphasizing reliability and security.

You'll work directly with customers to map data sources, APIs, and workflows, delivering production-grade data collectors using Python and Go, Docker, and Kubernetes in AWS/Azure/GCP ecosystems.