Senior Data Engineer - Remote GTM Data & Analytics

AgileEngine; Argentina; Presencial; ARS 89.322.000 - 133.982.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth

Competitive pay

Flexible work

Modern projects

Collaborative culture

Well-being

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP, powering a GTM revenue engine with lead routing, identity resolution, and campaign segmentation.

You will model GTM data marts using Python and dbt or Airflow, ensure data quality and schema governance for revenue analytics and Sales tooling; 4+ years of data engineering, strong SQL, Snowflake, and CRM familiarity are required.

Formación

• 4+ years of data engineering experience.
• Strong SQL / Snowflake experience.
• Strong Python scripting for data transformation.
• ETL/ELT pipeline development (dbt, Airflow, or similar).
• GCP or AWS cloud data platform experience.
• Familiarity with CRM data (leads, contacts, accounts, opportunities).
• Salesforce data models: hands-on modeling from Salesforce CRM.

Responsabilidades

• Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.
• Model and maintain GTM data assets: parent company, advertiser identity, lead enrichment, revenue data.
• Collaborate with engineers and PMs on GTMDR JIRA project deliverables.
• Write and optimize SQL/IQL queries for reporting and analytics use cases.
• Support data quality, validation, and schema management across GTM data marts.

Conocimientos

SQL

Snowflake

Python

ETL/ELT

GCP

CRM data

Salesforce data models

English (upper-intermediate)

Herramientas

dbt

Airflow

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP, powering a GTM revenue engine with lead routing, identity resolution, and campaign segmentation.

You will model GTM data marts using Python and dbt or Airflow, ensure data quality and schema governance for revenue analytics and Sales tooling; 4+ years of data engineering, strong SQL, Snowflake, and CRM familiarity are required.