Senior Data Ingestion & Integrations Engineer - Remote

Globallogic Inc.; La Pampa; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in

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 bridge customers and engineering. You will design scalable ingestion pipelines and connectors across cloud environments, applying data engineering, software engineering, and solution-architecture skills.

This role involves working directly with customers to understand infrastructure, data flows, and security requirements, delivering reliable and scalable data integration solutions.

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, 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 working with Docker and Kubernetes.
• Strong debugging skills across APIs, infrastructure, networking, 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, 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 and architecture design through 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 multiple 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 data architecture and implementation best practices.
• Identify recurring customer requirements and turn them into reusable connectors or platform improvements.
• Contribute insights to the product roadmap and support production adoption.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Connector frameworks

Integration platforms

CI/CD

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Tools

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering. You will design scalable ingestion pipelines and connectors across cloud environments, applying data engineering, software engineering, and solution-architecture skills.

This role involves working directly with customers to understand infrastructure, data flows, and security requirements, delivering reliable and scalable data integration solutions.