Senior Data Engineer: Ingestion & Connectors (Remote LATAM)

Coderoad; Neuquén; Remote; ARS 148,250,000 - 254,142,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a customer-facing data platform. You will design scalable pipelines, ingest data from identity providers, cloud platforms, and security systems, and deliver reliable data to enterprise clients.

The role emphasizes Python/Go based services, SQL/NoSQL databases, and containerized deployments on AWS/Azure/GCP.

Qualifications

• 5+ years of hands-on data engineering experience in marketing or agency.
• Experience configuring datastreams, transformations, and destinations in Adverity or comparable ETL platforms.
• Advanced SQL with BigQuery experience in transformation, partitioning, and modeling.
• Expertise in dbt or Dataform, with modular, version-controlled pipelines.
• Python proficiency for custom API connections and automation.
• Experience with CRM data flows (Slate, Salesforce, HubSpot).

Responsibilities

• Own data ingestion & pipeline architecture from source to dashboard.
• Build and maintain CRM data connections (Slate, Salesforce, HubSpot).
• Design and optimize the data warehouse in Google BigQuery with scalable schemas.
• Create SQL schemas mapping multi-channel data across clients.
• Maintain CI/CD pipelines (GitHub Actions) and enforce data segregation.
• Develop clean data views for Looker Studio dashboards and Sheets reports.
• Monitor pipeline health, handle API breaks, and ensure data quality.

Skills

SQL

BigQuery

Python

dbt/Dataform

ETL/Integration

Tools

Adverity

Fivetran

Supermetrics

dbt

Dataform

GitHub Actions

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a customer-facing data platform. You will design scalable pipelines, ingest data from identity providers, cloud platforms, and security systems, and deliver reliable data to enterprise clients.

The role emphasizes Python/Go based services, SQL/NoSQL databases, and containerized deployments on AWS/Azure/GCP.