Senior Data Engineer - Ingestion & Integrations (Remote)

Bairesdev; Neuquén; Hybrid; ARS 185,331,000 - 277,997,000; Full time

Benefits offered by this job

Contractor agreement

USD payment

Remote work

Argentine holidays

English classes

Learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team. This remote role across LATAM emphasizes collaboration and delivering scalable ingestion solutions.

You will design and implement connectors, work with Python/Go, and engage directly with customers to ensure successful deployments and high-value outcomes.

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, 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 CI/CD practices and Git workflows.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers and translating requirements into 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, 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 processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering 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, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture and security integrations.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and improve time-to-value for customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Integration platforms

Enterprise systems

SQL

NoSQL

CI/CD

Cloud platforms

AWS

Azure

GCP

Distributed systems

Tools

Docker

Kubernetes

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team. This remote role across LATAM emphasizes collaboration and delivering scalable ingestion solutions.

You will design and implement connectors, work with Python/Go, and engage directly with customers to ensure successful deployments and high-value outcomes.