Senior Data Ingestion Engineer — Connectors & Integrations (Remote)

Allshore Talent; Santa Fe Capital; Remote; ARS 185,448,000 - 254,992,000; 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 seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering team. You will design scalable ingestion pipelines, develop connectors, and work directly with clients to understand data sources, security requirements, and workflows.

You will combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting to deliver reliable, scalable ingestion capabilities

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 both SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.

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, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to 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 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 data architecture, collection strategies, security integrations, and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors and platform capabilities.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Customer-facing

20+ years?

Tools

Docker

Kubernetes

SQL

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering team. You will design scalable ingestion pipelines, develop connectors, and work directly with clients to understand data sources, security requirements, and workflows.

You will combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting to deliver reliable, scalable ingestion capabilities