Senior Data Engineer - Ingestion & Integrations (Remote)

Visa Hunt; La Pampa; À distance; ARS 107 614 000 - 184 482 000; Plein temps

Avantages offerts par ce poste

Contractor agreement with USD payment

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms

Résumé du poste

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to work remotely with LATAM clients. You will design and implement scalable pipelines from diverse data sources into our platform, ensuring security, reliability, and fast time-to-production.

You’ll collaborate with architects, sales engineering, and customers, building connectors, REST APIs, and cloud-native pipelines using Python/Go, Docker, and Kubernetes.

Qualifications

• 10+ years of professional Software/Data/Platform engineering experience.
• Strong SQL, BigQuery, and data modelling skills.
• Proven Python and/or Go development for data pipelines.
• Experience with CRM data integrations (Salesforce, HubSpot, Slate).
• Hands-on with ETL/ELT tooling and CI/CD practices.

Responsabilités

• Design, develop, and maintain production-grade data ingestion and pipelines.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEM, and network infrastructure.
• Collaborate with customers to understand environments and integration constraints.
• Build and optimize data warehouse schemas in BigQuery and manage partitioning.
• Create modular, version-controlled SQL transformations (dbt/Dataform).
• Develop backend services using Python/Go for data ingestion.
• Operate Docker/Kubernetes based services and CI/CD pipelines.
• Support deployment, data quality validation, and time-to-value for customers.

Connaissances

5+ years experience

SQL

BigQuery

Python

Go

dbt/Dataform

ETL pipelines

REST APIs

CRM data integration

Docker

Kubernetes

Git & CI/CD

Outils

Adverity

Fivetran

dbt

Dataform

GitHub Actions

Description du poste

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to work remotely with LATAM clients. You will design and implement scalable pipelines from diverse data sources into our platform, ensuring security, reliability, and fast time-to-production.

You’ll collaborate with architects, sales engineering, and customers, building connectors, REST APIs, and cloud-native pipelines using Python/Go, Docker, and Kubernetes.