Senior Data Ingestion Engineer — Remote, Cloud Integrations

Baker Hughes Company; Santa Fe Capital; Remote; ARS 166,601,000 - 257,474,000; Full time

Benefits offered by this job

Contractor agreement in USD

100% remote

Argentina public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer to design and implement data ingestion, connectors, and ingestion pipelines for an Identity Security platform. You will work closely with customers to understand data sources, security requirements, and workflows, building scalable solutions in Python and/or Go, leveraging cloud services and containerized deployments.

The role emphasizes customer-facing technical work, collaboration with solution architects, and ongoing improvements to data architectures

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development experience.

Responsibilities

• Design, develop, and maintain data ingestion services and connectors.
• Integrate enterprise data sources including identity, cloud, network, and security platforms.
• Collaborate with customers to understand environments and translate requirements into scalable ingestion solutions.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot deployments and optimize ingestion performance and reliability.

Skills

Python

Go

REST APIs

Data ingestion

Customer-facing

CI/CD

Distributed systems

Docker

Kubernetes

SQL/NoSQL

Tools

Docker

Kubernetes

Git

CI/CD tooling

Job description

Darwoft is seeking a Senior Data Engineer to design and implement data ingestion, connectors, and ingestion pipelines for an Identity Security platform. You will work closely with customers to understand data sources, security requirements, and workflows, building scalable solutions in Python and/or Go, leveraging cloud services and containerized deployments.

The role emphasizes customer-facing technical work, collaboration with solution architects, and ongoing improvements to data architectures