Senior Data Engineer - Data Ingestion & Integrations, Remote

Coderio; Tandil; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

100% remote work

English classes

Access to learning platforms

Referral program

Argentina public holidays

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering team. You will design scalable ingestion pipelines and connectors, ingest data from complex environments, and ensure reliability and security across cloud platforms.

You’ll work directly with customers to define data sources, security requirements, and integration constraints, then implement robust solutions using Python and Go, Docker, and

Qualifications

• 10+ years in software/data/platform engineering or related
• Strong Python and Go development experience
• Experience designing and consuming REST APIs
• Hands-on data ingestion pipelines and integration platforms
• Experience with cloud providers (AWS/Azure/GCP) and CI/CD
• Solid SQL and NoSQL database knowledge
• Docker and Kubernetes proficiency
• Ability to work directly with customers and translate requirements into technical solutions
• Experience building reliable, scalable distributed systems

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, networks, endpoints, applications, security platforms, and SIEMs
• Collaborate with customers to understand environments, data flows, and integration constraints
• Participate in onboarding, architecture design, and production deployment processes
• Design scalable ingestion architectures for high-volume data sources like security events and logs
• Build integrations using REST APIs, cloud-native services, and event-driven architectures
• Develop backend services using Python and/or Go
• Work with SQL and NoSQL databases for storage and analysis
• Operate containerized services with Docker and Kubernetes
• Deploy solutions across AWS, Azure, and GCP environments
• Troubleshoot complex deployments across multiple layers
• Improve ingestion performance, reliability, and scalability
• Collaborate with solution architects, sales engineering, customer success, product, and engineering
• Act as a trusted technical advisor on data architecture and integrations
• Identify recurring customer requirements and translate into reusable connectors or product improvements
• Contribute insights to the product roadmap
• Support production adoption and time-to-value for customers
• Participate in customer-facing technical sessions as needed

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

Cloud platforms

SQL/NoSQL databases

Customer-facing

CI/CD practices

Tools

Git

CI/CD tooling

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering team. You will design scalable ingestion pipelines and connectors, ingest data from complex environments, and ensure reliability and security across cloud platforms.

You’ll work directly with customers to define data sources, security requirements, and integration constraints, then implement robust solutions using Python and Go, Docker, and