Senior Data Ingestion Engineer - Remote Cloud Integrations

Baker Hughes Company; La Pampa; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Contractor agreement with payment in0

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer to design and build data ingestion pipelines, connectors, and ingestion services for an Identity Security platform. You will work closely with customers to understand data sources, security requirements, and integration constraints, delivering scalable, reliable ingestion solutions.

You'll apply Python and Go, work with cloud providers (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD practices to deploy production-grade connectors and maintain high 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.

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 and architecture design through 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.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer to design and build data ingestion pipelines, connectors, and ingestion services for an Identity Security platform. You will work closely with customers to understand data sources, security requirements, and integration constraints, delivering scalable, reliable ingestion solutions.

You'll apply Python and Go, work with cloud providers (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD practices to deploy production-grade connectors and maintain high data