Senior Data Ingestion Engineer (Python/Go) — Remote

Intellectsoft; Buenos Aires; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

USD pay contract

Remote work

Arg holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering team. You will design and implement scalable ingestion pipelines using Python and Go, and work with cloud services across AWS, Azure, and GCP.

You will collaborate with solution architects and customers to translate complex data sources into reliable connectors while ensuring security, performance, and time-to-production in a 100% remote LATAM

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Proficient in Python and Go.
• Experience designing REST APIs.
• Hands-on data ingestion and integration experience.
• Experience with cloud platforms (AWS/Azure/GCP).
• Familiarity with Docker and Kubernetes.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work with customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Build scalable ingestion architectures for processing security events, logs, and identity activity.
• Develop backend services using Python and/or Go; use SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes and deploy across AWS, Azure, GCP.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering team. You will design and implement scalable ingestion pipelines using Python and Go, and work with cloud services across AWS, Azure, and GCP.

You will collaborate with solution architects and customers to translate complex data sources into reliable connectors while ensuring security, performance, and time-to-production in a 100% remote LATAM