Senior Data Engineer - Ingestion & Integrations (Remote)

Pearster; Municipio de Rincón de los Sauces; Remote; ARS 138,998,000 - 200,775,000; 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 for a remote LATAM engagement. You will collaborate with customers to design scalable ingestion pipelines and connectors across cloud platforms, security data, and enterprise ecosystems.

The role combines data engineering, software engineering, and solution architecture with a strong emphasis on reliability, security, and production-readiness. 100% remote across LATAM.

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 SQL and NoSQL databases.
• Production experience with AWS, Azure, and GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, app services and data pipelines.
• Experience working directly with customers and stakeholders.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• Strong communication skills for customer-facing conversations.
• High degree of autonomy and ownership when solving ambiguous problems.

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, and integration constraints.
• Participate in technical onboarding from discovery to production 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 layers.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will collaborate with customers to design scalable ingestion pipelines and connectors across cloud platforms, security data, and enterprise ecosystems.

The role combines data engineering, software engineering, and solution architecture with a strong emphasis on reliability, security, and production-readiness. 100% remote across LATAM.