Remote Senior Data Engineer - Marketing Analytics & Pipelines

LatamCent; La Pampa; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Remote role

Competitive compensation

High-visibility Data & Analytics team

Job summary

Darwoft seeks a Senior Data Engineer for a remote role within a LATAM-focused education security project. You will own end-to-end data ingestion, CRM integrations, and the data warehouse in BigQuery, building modular dbt/Dataform transformations and CI/CD processes.

You will enable fast Looker Studio dashboards and automated reports while ensuring data quality across multi-client environments. You will collaborate with the analytics team to translate client reporting requirements into scalable

Qualifications

• 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment.
• Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel)
• Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling
• Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines
• Python proficiency for custom API connections and pipeline automation
• Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot)
• A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance
• Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation
• An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences

Responsibilities

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms into Adverity; build custom Python connectors; architect scalable pipelines from source to dashboard
• Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot)
• Own the data warehouse — route, optimize, and store data in Google BigQuery; design efficient schemas for multi-source marketing data
• Own transformation & mapping — build SQL schemas that map and organize multi-channel data in modular dbt/Dataform pipelines
• Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions) for robust releases and enforce data segregation across multi-client environments
• Enable the reporting layer — create clean data views for Looker Studio dashboards and automated Google Sheets reports
• Drive data quality — monitor pipelines, handle API breaks, validate data and flag quality risks

Skills

SQL

BigQuery

dbt

Dataform

Python

CRM data flows

Marketing metrics

Git

Looker Studio

Tools

Adverity

Fivetran

Supermetrics

Funnel

GitHub Actions

Job description

Darwoft seeks a Senior Data Engineer for a remote role within a LATAM-focused education security project. You will own end-to-end data ingestion, CRM integrations, and the data warehouse in BigQuery, building modular dbt/Dataform transformations and CI/CD processes.

You will enable fast Looker Studio dashboards and automated reports while ensuring data quality across multi-client environments. You will collaborate with the analytics team to translate client reporting requirements into scalable