Senior Data Engineer: DataOps & Cloud Automation (Remote)

The Walt Disney Company; Neuquén; Remote; ARS 136,732,000 - 212,695,000; Full time

Benefits offered by this job

Remote work in LATAM

English classes

Access to learning platforms

Contractor payment in USD

Referral program

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join a customer-facing technical team. You will design and implement scalable ingestion mechanisms, work directly with enterprise customers, and combine data engineering with solution architecture across cloud environments.

You will build connectors, pipelines, and integrations using Python/Go, SQL/NoSQL databases, and containerized services, while ensuring reliability, security, and rapid

Qualifications

• 5+ years of hands-on data engineering experience.
• Strong experience with Python and Go.
• Proficient in SQL and NoSQL databases.
• Experience designing data ingestion pipelines and integrations.
• Experience with REST APIs and data integration patterns.
• Hands-on with Docker and Kubernetes in production.
• CI/CD and Git-based workflows in multi‑client environments.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEMs, and endpoints.
• Collaborate with customers to understand environments and data flows for integration.
• Build scalable ingestion architectures for security events, logs, and telemetry.
• Develop backend services with Python and/or Go; work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy across AWS/Azure/GCP.

Skills

Python

Go

SQL

NoSQL

REST APIs

Docker

Kubernetes

CI/CD

Git

Data pipelines

Tools

Terraform

dbt

Dataform

Adverity

Fivetran

GitHub

BigQuery

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join a customer-facing technical team. You will design and implement scalable ingestion mechanisms, work directly with enterprise customers, and combine data engineering with solution architecture across cloud environments.

You will build connectors, pipelines, and integrations using Python/Go, SQL/NoSQL databases, and containerized services, while ensuring reliability, security, and rapid