Senior Data Engineer — Remote, Flexible Hours & GTM Data

AgileEngine, LLC.; Bogotá; Presencial; COP 281.171.000 - 406.136.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive pay

Remote work

Meaningful projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Engineer to build and maintain data pipelines powering the GTM revenue engine. You’ll work with Snowflake, Salesforce Data Cloud, and GCP, modeling GTM data marts and ensuring data quality for analytics and Sales tooling.

The role requires 4+ years of data engineering experience, strong SQL/Snowflake, Python, and CRM data familiarity, with hands-on Salesforce data modeling. Remote-friendly and globally distributed teams.

Formación

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

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

4+ years data engineering

SQL / Snowflake

Python

GCP / AWS

CRM data

Salesforce data models

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Engineer to build and maintain data pipelines powering the GTM revenue engine. You’ll work with Snowflake, Salesforce Data Cloud, and GCP, modeling GTM data marts and ensuring data quality for analytics and Sales tooling.

The role requires 4+ years of data engineering experience, strong SQL/Snowflake, Python, and CRM data familiarity, with hands-on Salesforce data modeling. Remote-friendly and globally distributed teams.