---
title: Data Engineer (Microsoft Fabric / Azure) at Customer Vineyard
description: Customer Vineyard builds precision customer intelligence for the beverage and hospitality industries and beyond. We're based in California, in the heart of America's wine country, and our AI-driven sc
---

# Data Engineer (Microsoft Fabric / Azure)

**Company:** Customer Vineyard  
**Location:** Tbilisi, Georgia  
**Posted:** 2026-10-09  
**Apply by:** 2026-11-23

**Tags:** data engineer

[Apply / View original posting](https://www.linkedin.com/jobs/view/4475204543)

## Job description

Customer Vineyard builds precision customer intelligence for the beverage and hospitality industries and beyond. We're based in California, in the heart of America's wine country, and our AI-driven scoring turns raw customer data into targeted, profitable action. We're looking for a data engineer to own the foundation that all of it runs on. What you will do You'll design and maintain the pipelines and Lakehouse/Warehouse solutions on Microsoft Fabric that feed our analytical platforms. You'll build the ingestion and transformation layers that standardize complex datasets: canonical data models, validation and quality checks that catch problems before they reach a dashboard, deduplication and entity resolution, etc. We expect you to own the technical direction, not just the implementation. If you enjoy solving complex data challenges, building cloud-native solutions, and shaping the future of enterprise analytics, this role offers the opportunity to make a lasting impact. Job Segmentation Middle/Senior Level Employment details Full-Time (35 hours a week) This position is remote, based in Tbilisi Georgia. In-person meetings are usually held once a month with the Georgian team. Schedule is flexible but requires an overlap with our California Team (7 PM - 10PM Tbilisi Time) Employment Type - Contractor Required Qualifications 3+ years building and supporting production ETL/ELT pipelines Strong written and spoken English Hands-on production experience with at least two of: Microsoft Fabric, Azure Data Factory, Azure Synapse or Databricks Strong SQL skills

---

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