Senior Data Ingestion Architect — Remote LATAM

Bluelight; La Pampa; Remote; ARS 154,540,000 - 231,811,000; Full time

Benefits offered by this job

Contractor agreement with payment in ₵

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for a remote LATAM role. You will build production-grade data collectors and ingestion services, integrate diverse data sources, and work directly with customers to design scalable ingestion architectures.

You will deploy on AWS/Azure/GCP, use Docker/Kubernetes, and contribute across product and engineering teams to optimize time-to-value for enterprise clients.

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development skills.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines, connectors, and integration platforms.
• Experience with enterprise integrations and cloud environments (AWS/Azure/GCP).
• Proficiency in SQL and NoSQL databases.
• Docker and Kubernetes production experience.
• Git-based workflows and CI/CD practices.
• Ability to work directly with customers and translate requirements into technical solutions.
• Strong debugging and problem-solving across APIs, infra, and data pipelines.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate diverse enterprise data sources including identity, cloud, network, endpoints, and SIEM systems.
• Collaborate with customers to understand environments, data flows, and integration constraints.
• Lead onboarding from discovery to production deployment.
• Define scalable ingestion architectures for security events, logs, and telemetry.
• Build integrations using REST APIs, cloud services, event-driven patterns, and modern dev practices.
• Develop backend services primarily with Python and/or Go.
• Work with SQL/NoSQL to store and analyze large datasets.
• Operate containerized services using Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and GCP.
• Troubleshoot complex deployment issues across app, infra, network, API, and data layers.
• Drive performance, reliability, and scalability improvements in ingestion.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

CI/CD

Customer-facing

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for a remote LATAM role. You will build production-grade data collectors and ingestion services, integrate diverse data sources, and work directly with customers to design scalable ingestion architectures.

You will deploy on AWS/Azure/GCP, use Docker/Kubernetes, and contribute across product and engineering teams to optimize time-to-value for enterprise clients.