Senior Data Engineer — Remote Ingestion & Integrations

AgileEngine, LLC.; La Pampa; Remote; ARS 136,310,000 - 181,747,000; Full time

Benefits offered by this job

USD payment contractor

100% remote

Argentina holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a 100% remote team in LATAM. You will design and implement scalable data pipelines, connect enterprise data sources, and collaborate with customers to ensure secure, reliable data flows across cloud environments.

You will build and evolve connectors, work across Python/Go stacks, and contribute to the broader data platform, helping clients derive timely insights from marketing and education

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 and integration platforms.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows 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, 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 high-volume data.
• 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 customer deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability; improve data quality and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around data architecture and integration best practices.

Skills

Data ingestion pipelines

ETL/ELT

Customer collaboration

CI/CD practices

Data architecture

Communication

Marketing/education domain knowledge

Tools

Python

Go

REST APIs

Docker

Kubernetes

SQL

NoSQL

Cloud (AWS/Azure/GCP)

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a 100% remote team in LATAM. You will design and implement scalable data pipelines, connect enterprise data sources, and collaborate with customers to ensure secure, reliable data flows across cloud environments.

You will build and evolve connectors, work across Python/Go stacks, and contribute to the broader data platform, helping clients derive timely insights from marketing and education