Remote Senior Data Engineer: GTM Data & Snowflake Expert

AgileEngine, LLC.; Medellín; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, LLC. seeks a Senior Data Engineer to build and maintain data pipelines powering a Go-To-Market revenue engine.

You will work across Snowflake, Salesforce Data Cloud, and GCP, modeling GTM data marts using Python and dbt or Airflow, and ensure data quality for revenue analytics. The ideal candidate has 4+ years of data engineering experience, strong SQL, CRM data familiarity, and hands-on Salesforce data models.

Formación

• 4+ years of data engineering or similar roles.
• Strong SQL and Snowflake experience.
• Strong Python scripting experience for data transformation.
• GCP or AWS cloud data platform experience.
• Familiarity with CRM data (leads, contacts, accounts, opportunities).
• Hands-on Salesforce data models: modeling and processing data 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

GCP

CRM data

Salesforce data models

Herramientas

dbt

Airflow

Salesforce Data Cloud

Descripción del empleo

AgileEngine, LLC. seeks a Senior Data Engineer to build and maintain data pipelines powering a Go-To-Market revenue engine.

You will work across Snowflake, Salesforce Data Cloud, and GCP, modeling GTM data marts using Python and dbt or Airflow, and ensure data quality for revenue analytics. The ideal candidate has 4+ years of data engineering experience, strong SQL, CRM data familiarity, and hands-on Salesforce data models.