Senior Data Ingestion Engineer - Remote (LATAM)

Bluelight; Tandil; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote role. You will work closely with customers to architect ingestion pipelines, connectors, and data flows across cloud environments.

You will design scalable solutions using Python/Go, REST APIs, and modern data platforms, while ensuring reliability and security in enterprise deployments. This position offers 100% remote collaboration with international clients.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with major cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Ability to translate customer requirements into pragmatic technical solutions.
• Strong communication skills and customer-facing experience.

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 directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding from discovery through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture, collection strategies, and security integrations.

Skills

Python

Go

REST APIs

Data ingestion

SQL databases

NoSQL databases

Cloud platforms

Tools

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote role. You will work closely with customers to architect ingestion pipelines, connectors, and data flows across cloud environments.

You will design scalable solutions using Python/Go, REST APIs, and modern data platforms, while ensuring reliability and security in enterprise deployments. This position offers 100% remote collaboration with international clients.