Senior Data Ingestion Engineer - Remote LATAM

Bluelight; La Pampa; Remote; ARS 151,455,000 - 212,038,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

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, Integrations, and Collectors to serve as a technical bridge between enterprise customers and engineering. This role blends data engineering, software engineering, and cloud architecture to ingest data from complex environments into a security-focused platform.

You will design scalable ingestion pipelines, work with Python/Go, and collaborate with customers to meet integration constraints while ensuring reliability and security.

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 AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, 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 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 layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on customer data architecture and implementation best practices.
• Transform recurring customer requirements into reusable connectors or platform improvements.
• Contribute insights from implementations to the product roadmap.
• Support production adoption and time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

Data ingestion

REST APIs

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to serve as a technical bridge between enterprise customers and engineering. This role blends data engineering, software engineering, and cloud architecture to ingest data from complex environments into a security-focused platform.

You will design scalable ingestion pipelines, work with Python/Go, and collaborate with customers to meet integration constraints while ensuring reliability and security.