Senior Data Ingestion Engineer - Remote (LATAM)

Coder Technologies Inc.; Buenos Aires; Remote; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next-generation Identity Security platform. You will work directly with enterprise customers to design scalable ingestion pipelines, build connectors, and implement data strategies across cloud environments.

You will collaborate with cross-functional teams, combining data/software engineering, solution architecture, and technical consulting to deliver reliable, secure, and scalable data

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, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of CI/CD practices.
• Experience designing reliable, scalable distributed systems.
• 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 solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, 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 application, infrastructure, networking, API, and data 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 integration best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

AWS

Azure

GCP

Docker

Kubernetes

SQL

NoSQL

CI/CD

Distributed systems

Tools

Docker

Kubernetes

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next-generation Identity Security platform. You will work directly with enterprise customers to design scalable ingestion pipelines, build connectors, and implement data strategies across cloud environments.

You will collaborate with cross-functional teams, combining data/software engineering, solution architecture, and technical consulting to deliver reliable, secure, and scalable data