Senior Data Engineer - Marketing Analytics & Data Pipelines

Constructor; Rosario; Remote; ARS 139,364,000 - 185,819,000; Full time

Benefits offered by this job

Remote role

Competitive compensation

High-visibility role

Impact on education/nonprofit partners

Collaborative culture

Job summary

Constructor is seeking a Senior Data Engineer for a remote role focused on education-focused marketing analytics. You will own end-to-end data pipelines from paid media and CRM to a BigQuery warehouse, with modular dbt/Dataform transformations and Looker Studio dashboards driving client reporting.

You will build Python connectors, maintain CI/CD and strict data segregation across multi-client environments, and collaborate with the Data & Analytics Manager to scale insights for education and

Qualifications

• 5+ years of hands-on data engineering experience, ideally in marketing or agency environments.
• Strong experience configuring datastreams, transformations, and destinations in Adverity or comparable ETL platforms (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 track record of structuring data for Looker Studio performance.
• Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation.
• Analytical, solution-driven mindset with growth orientation; education marketing experience valued.

Responsibilities

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms into Adverity, build Python connectors, and architect scalable pipelines from source to dashboard.
• Own CRM integration — build and maintain reliable CRM data connections so lead and enrollment data flows into the warehouse.
• Own the data warehouse — route, optimize, and store data in Google BigQuery; design efficient schemas and manage partitioning/clustering.
• Own transformation & mapping — build SQL schemas that map and blend multi-channel data in modular dbt/Dataform pipelines with standardized naming.
• Own CI/CD & data segregation — maintain CI/CD pipelines and enforce data segregation across multi-client environments.
• Enable the reporting layer — create clean data views for Looker Studio dashboards and Google Sheets reports, translating requirements into warehouse models.
• Drive data quality — monitor pipelines, resolve API breaks, validate data, and flag data quality risks to leadership.

Skills

SQL

BigQuery

Python

dbt

Dataform

ETL pipelines

API integration

Git/version control

Marketing analytics

Tools

Adverity

Fivetran

Supermetrics

Funnel

Looker Studio

Job description

Constructor is seeking a Senior Data Engineer for a remote role focused on education-focused marketing analytics. You will own end-to-end data pipelines from paid media and CRM to a BigQuery warehouse, with modular dbt/Dataform transformations and Looker Studio dashboards driving client reporting.

You will build Python connectors, maintain CI/CD and strict data segregation across multi-client environments, and collaborate with the Data & Analytics Manager to scale insights for education and