Senior Data Engineer – Ingestion & Pipelines (Remote)

Unavailable; La Pampa; A distancia; ARS 91.438.000 - 182.877.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote role

Competitive compensation

High-visibility role

Education/nonprofit impact

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team. You’ll design and maintain connectors, ingestion pipelines, and ingestion services for enterprise data sources, translating complex requirements into scalable solutions.

You’ll collaborate with Solution Architects, Sales Engineering, and Customer Success, using Python/Go, SQL/NoSQL, Docker/Kubernetes, and cloud platforms (AWS/Azure/GCP) to deliver reliable,

Formación

• 10+ years in data/engineering roles, preferably marketing/agency
• Strong SQL with BigQuery experience
• Experience with dbt/Dataform and ETL tooling
• Python proficiency for API connections
• CRM data integration experience (Slate/Salesforce/HubSpot)
• Understanding marketing metrics (ROAS, CPA, CAC) and paid platform schemas

Responsabilidades

• Design, develop, and maintain data ingestion pipelines and connectors
• Integrate CRM and marketing data into a centralized warehouse
• Build and optimize Google BigQuery schemas and storage strategies
• Create modular SQL transformations with dbt/Dataform
• Maintain CI/CD for data pipelines and enforce data segregation
• Deliver reliable data views for Looker Studio dashboards

Conocimientos

5+ years experience

SQL

BigQuery

Python

CRM data flows

Data modeling

Git

Communication

Herramientas

Adverity

dbt

Dataform

Fivetran

Supermetrics

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team. You’ll design and maintain connectors, ingestion pipelines, and ingestion services for enterprise data sources, translating complex requirements into scalable solutions.

You’ll collaborate with Solution Architects, Sales Engineering, and Customer Success, using Python/Go, SQL/NoSQL, Docker/Kubernetes, and cloud platforms (AWS/Azure/GCP) to deliver reliable,