Senior Data Ingestion Engineer — Remote LATAM

Miratech; La Pampa; Remote; ARS 108,178,000 - 216,357,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

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 for a remote LATAM role. You will bridge customers with engineering, design scalable ingestion pipelines, and work across cloud environments to ingest data from diverse systems.

The role blends data engineering, software engineering, and technical consulting in a cybersecurity context. You will build connectors, optimize performance, and collaborate with architects, sales engineering, and customer

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• 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 SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.
• Ability to translate customer requirements into pragmatic technical solutions.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Participate in technical onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and high-volume data.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services using Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze data.
• Operate containerized services with Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex customer deployment issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with multiple teams and act as a trusted technical advisor.
• Identify recurring requirements and turn them into reusable connectors or platform improvements.
• Contribute insights to the product roadmap.
• Support production adoption and improve time-to-value for customers.
• Participate in occasional customer-facing sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Customer-facing

Distributed systems

Git workflows

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM role. You will bridge customers with engineering, design scalable ingestion pipelines, and work across cloud environments to ingest data from diverse systems.

The role blends data engineering, software engineering, and technical consulting in a cybersecurity context. You will build connectors, optimize performance, and collaborate with architects, sales engineering, and customer