Senior Data Engineer: Ingest & BigQuery Pipelines (Remote)

Pwc Argentina; La Pampa; Remote; ARS 92,241,000 - 184,482,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will design scalable pipelines, connect enterprise data sources, and build robust ingestion services using Python/Go and cloud-native stacks.

The role requires customer-facing collaboration and a strong drive to deliver reliable data for security and analytics platforms. You will work with REST APIs, cloud services, and containerized deployments (Docker/Kubernetes)

Qualifications

• 5+ years of hands-on data engineering in marketing or agency settings.
• Strong SQL and BigQuery experience with data modelling.
• Proficiency in Python and at least one data integration tool stack (Adverity/Fivetran).
• Experience with dbt or Dataform and CI/CD processes.
• CRM data flows knowledge (Salesforce, HubSpot, Slate) is a plus.

Responsibilities

• Design, build, and maintain data ingestion pipelines and connectors.
• Integrate diverse data sources including ads, CRM, and analytics platforms.
• Develop and optimize a scalable data warehouse in BigQuery.
• Create modular, version-controlled transformations with dbt/Dataform.
• Support Looker Studio dashboards and automated reports.
• Collaborate with customers and internal teams to translate requirements.

Skills

Python

Go

SQL

BigQuery

Data ingestion

CI/CD

Tools

Adverity

Fivetran

dbt

Dataform

Looker Studio

GitHub Actions

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will design scalable pipelines, connect enterprise data sources, and build robust ingestion services using Python/Go and cloud-native stacks.

The role requires customer-facing collaboration and a strong drive to deliver reliable data for security and analytics platforms. You will work with REST APIs, cloud services, and containerized deployments (Docker/Kubernetes)