Senior Data Ingestion Engineer: Cloud & API Connectors

Agileengine, Llc.; Municipio de Rincón de los Sauces; Remote; ARS 61,494,000 - 107,614,000; 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 connectors to bridge customers and the engineering team. You will design scalable ingestion pipelines and collaborate across Cloud platforms, security, and data technologies to deliver reliable, production-ready solutions.

This role emphasizes customer-facing engagement, architectural design, and the evolution of connectors and ingestion strategies in a 100% remote LATAM setup.

Qualifications

• 10+ years of professional software engineering, data engineering, platform engineering, or related experience.
• Strong Python and Go development skills.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, or integration platforms.
• 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 debugging skills across APIs, infrastructure, networking, and data pipelines.
• Strong communication skills and ability to work with customers.

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 processes from discovery to production 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 practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze 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.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around data architecture, collection strategies, and security integrations.
• Identify recurring customer requirements and transform them into reusable connectors or platform capabilities.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Customer-facing communication

Problem solving

Tools

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

SQL

NoSQL

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge customers and the engineering team. You will design scalable ingestion pipelines and collaborate across Cloud platforms, security, and data technologies to deliver reliable, production-ready solutions.

This role emphasizes customer-facing engagement, architectural design, and the evolution of connectors and ingestion strategies in a 100% remote LATAM setup.