Senior Data Ingestion & Integrations Engineer — Remote

Lateralgroup; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; 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 to bridge enterprise customer needs with the engineering team. This remote, LATAM-friendly role emphasizes building reliable ingestion pipelines for security data and events.

You’ll design connectors using Python and Go, work with REST APIs, and deploy on AWS, Azure, and GCP while collaborating with customers, solution architects, and product teams to shorten time to value.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines and 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 and CI/CD practices.

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, 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 security events, logs, and 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 application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor on data architecture and integration best practices.

Skills

Python

Go

REST APIs

Data Ingestion

Cloud Platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customer needs with the engineering team. This remote, LATAM-friendly role emphasizes building reliable ingestion pipelines for security data and events.

You’ll design connectors using Python and Go, work with REST APIs, and deploy on AWS, Azure, and GCP while collaborating with customers, solution architects, and product teams to shorten time to value.