Senior Data Engineer: Marketing AI Pipelines (Remote)

LatamCent; Neuquén; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

High-visibility role

Impactful work

Job summary

LatamCent is seeking a Senior Data Engineer (Marketing-oriented) for a fully remote role serving education and nonprofit clients. You will own data ingestion, CRM integration, and the data warehouse, building modular pipelines in dbt/Dataform and ensuring high data quality for reporting through Looker Studio.

You will work with Adverity and other ETL tools, connect platforms like Meta, Google Ads, LinkedIn, and programmatic channels, and support dashboards and automated reports used by partners

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.

Responsibilities

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms into Adverity, build custom Python connectors, and architect scalable pipelines from source to dashboard.
• Own CRM integration — build and maintain CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows into the warehouse.
• Own the data warehouse — route, optimize, and store data in Google BigQuery; design schemas and manage partitioning to control cost and performance.
• Own transformation & mapping — build SQL schemas that map and blend multi-channel data in modular, version-controlled pipelines.
• Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions) for robust, version-controlled releases 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 reporting requirements into warehouse models.
• Drive data quality — monitor pipelines, resolve API breaks, implement validation and automated testing, flag data quality risks to leadership.

Skills

Data engineering

SQL

BigQuery

Python

dbt/Dataform

ETL/ELT

Adverity

CRM integrations

Git

Tools

Adverity

Fivetran

Supermetrics

Funnel

Job description

LatamCent is seeking a Senior Data Engineer (Marketing-oriented) for a fully remote role serving education and nonprofit clients. You will own data ingestion, CRM integration, and the data warehouse, building modular pipelines in dbt/Dataform and ensuring high data quality for reporting through Looker Studio.

You will work with Adverity and other ETL tools, connect platforms like Meta, Google Ads, LinkedIn, and programmatic channels, and support dashboards and automated reports used by partners