Senior Data Engineer: Enterprise BigQuery Warehouse Lead

Yellowstone Local; Hickory Hill (KY); On-site; USD 90,000 - 150,000; Full time

Job summary

MRCOOL is seeking a Senior Data Engineer via Yellowstone Local to design and govern an enterprise data warehouse on Google BigQuery. You will build scalable ELT pipelines, enable AI-ready analytics, and establish a unified data dictionary.

You will partner with finance and operations leaders to define KPIs and deliver governance-focused dashboards using BI tools. This is a hands-on, high-impact role shaping data foundations across the company.

Qualifications

• Senior Data Engineer responsible for architecting, building, and governing MRCOOL's enterprise data warehouse on Google BigQuery and Google Cloud.
• Design a modern ELT architecture and production-grade ETL/ELT pipelines across multiple source systems.
• Establish data governance, metadata, and a shared data dictionary for consistent metrics.

Responsibilities

• Architect and govern MRCOOL's enterprise data warehouse on Google Cloud and BigQuery.
• Build scalable ELT/ETL pipelines ingesting data from NetSuite, Sage Intacct, QuickBooks, HubSpot, Magento, Zendesk, Aircall, and more.
• Partner with finance/ops to define KPIs and deliver governed dashboards and executive scorecards.
• Create a semantic layer and data dictionary with consistent definitions for revenue, margin, and DSO.
• Champion data quality, lineage, access controls, and GA4/Looker-based analytics governance.

Skills

BigQuery

ETL/ELT pipelines

Data governance

BI dashboards

KPI development

Tools

Power BI

Looker

Looker Studio

Tableau

BigQuery

Job description

MRCOOL is seeking a Senior Data Engineer via Yellowstone Local to design and govern an enterprise data warehouse on Google BigQuery. You will build scalable ELT pipelines, enable AI-ready analytics, and establish a unified data dictionary.

You will partner with finance and operations leaders to define KPIs and deliver governance-focused dashboards using BI tools. This is a hands-on, high-impact role shaping data foundations across the company.