Senior Data Ingestion Engineer — Remote, AI & Platforms

Netrix Global; Municipio de Rincón de los Sauces; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a remote LATAM team. You will design scalable ingestion architectures, integrate multiple data sources, and build robust pipelines using Python/Go, dbt/Dataform, and containerized services on AWS/Azure/GCP.

You'll partner with architects, sales engineering, and customer success to deliver enterprise-grade data solutions and ensure data quality across multi-client deployments.

Qualifications

• 5+ years in data engineering, marketing/agency preferred.
• Strong SQL with BigQuery experience.
• Proficient in Python and/or Go for pipelines.
• Experience with CRM data flows and integrations.
• Keen understanding of marketing metrics and dashboards.

Responsibilities

• Design, build, and maintain data ingestion pipelines and connectors.
• Integrate enterprise data sources and CRM data into warehouse.
• Develop and optimize data warehouse schemas in BigQuery.
• Create modular, version-controlled dbt/Dataform pipelines.
• Implement CI/CD and data segregation across multi-client environments.
• Support Looker Studio dashboards and automated reports.
• Monitor data quality and troubleshoot end-to-end data flows.

Skills

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Docker/Kubernetes

DBT/Dataform

Cloud platforms

Git/CI-CD

Customer-facing

Tools

Adverity

dbt

Dataform

Fivetran

Supermetrics

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a remote LATAM team. You will design scalable ingestion architectures, integrate multiple data sources, and build robust pipelines using Python/Go, dbt/Dataform, and containerized services on AWS/Azure/GCP.

You'll partner with architects, sales engineering, and customer success to deliver enterprise-grade data solutions and ensure data quality across multi-client deployments.