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Fabric Warehouse Jobs (NOW HIRING)

ETL/Data Engineer

Indianapolis, IN ยท On-site

$107K - $129K/yr

Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake). โ€ข Strong working ...

Azure Data Architect

Detroit, MI ยท On-site

$58 - $75.75/hr

Strong knowledge of OneLake, Fabric Lakehouse, and Fabric Warehouse. * Extensive experience with Azure Data Factory and data pipeline development. * Hands-on experience with Microsoft Fabric.

This is an amazing opportunity for a fabric cutter to enjoy a $15.00/hour starting pay with ... Sectors like manufacturing, food processing, warehousing, packaging and hospitality, if done right ...

Solution Architect

Jersey City, NJ ยท On-site

$150 - $210/hr

Design scalable Lakehouse and Warehouse architectures using Fabric and the Medallion Architecture * Define enterprise data modeling strategies across conceptual, logical, physical, dimensional ...

Design, build, and maintain enterprise-grade data warehouses within Microsoft Fabric (Warehouse, Lakehouse) using PySpark. * Implement and manage data models including fact and dimension tables ...

Design, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles * Experience using Microsoft Fabric * Build and manage ETL/ELT pipelines to ingest and ...

Warehousing: Optimize SQL Analytics Endpoints and Synapse Data Warehouses for high-performance ... Microsoft Fabric: Hands-on experience with Lakehouses, Warehouses, and Power BI integration. * Data ...

We are searching for hardworking individuals to work in the fabric department within our Distribution Warehouse. This is a full-time position located at Hobby Lobby's corporate campus in Oklahoma ...

In this role, you will bring genuine, hands-on, lived-in experience leading Microsoft Fabric implementation and migration engagements - spanning Lakehouse, Warehouse, and OneLake - applying practical ...

In this role, you will bring genuine, hands-on, lived-in experience leading Microsoft Fabric implementation and migration engagements - spanning Lakehouse, Warehouse, and OneLake - applying practical ...

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Fabric Warehouse information

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How much do fabric warehouse jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for fabric warehouse in the United States is $17.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.75 per hour, depending on experience, location, and employer.

What is a fabric warehouse?

A fabric warehouse is a specialized storage facility where various types of textiles and fabrics are stored, managed, and distributed. These warehouses maintain fabric inventory for manufacturers, retailers, designers, and sometimes the general public. They play a crucial role in the textile supply chain by ensuring that materials are available for production and sale. Fabric warehouses may also offer services such as cutting, packaging, and shipping to meet specific customer needs.

What are the key skills and qualifications needed to thrive as a fabric warehouse worker?

To thrive as a Fabric Warehouse Worker, you need knowledge of textile types, inventory management, and safe material handling, often supported by a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), barcode scanners, and forklifts is typically required. Attention to detail, teamwork, and strong organizational skills are crucial soft skills in this role. These abilities are essential to ensure efficient fabric storage, accurate order fulfillment, and a safe, well-run warehouse environment.

What are some common challenges faced when working in a fabric warehouse, and how can they be managed?

One common challenge in a fabric warehouse is maintaining accurate inventory due to the variety of materials, colors, and sizes handled daily. Team members must be detail-oriented and follow precise procedures for labeling and storage to prevent mix-ups and loss. Additionally, managing heavy or bulky fabric rolls requires proper training on equipment and safe handling practices to avoid injury. Collaborating closely with purchasing and production teams helps ensure that inventory levels are aligned with demand, improving workflow and reducing errors.

What is the difference between Fabric Warehouse vs Fabric Store Associate?

AspectFabric WarehouseFabric Store Associate
Required CredentialsHigh school diploma; some roles may require basic sewing or textile knowledgeHigh school diploma; customer service skills often emphasized
Work EnvironmentLarge warehouse setting, often physically active, with inventory managementRetail store environment, customer-facing, with sales and display responsibilities
Industry UsageUsed in textile distribution, wholesale, and manufacturing sectorsCommon in retail fabric and craft stores
Common Search/ComparisonFabric Warehouse vs Fabric Store Associate

Fabric Warehouse roles focus on inventory management and distribution in large warehouse settings, while Fabric Store Associates work directly with customers in retail stores, assisting with sales and product selection. Both roles require knowledge of fabrics but differ mainly in work environment and responsibilities.

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What cities are hiring for Fabric Warehouse jobs?

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What states have the most Fabric Warehouse jobs?

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The top searched job categories for Fabric Warehouse jobs are:

Infographic showing various Fabric Warehouse job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,485 per year, or $17.5 per hour.

Sr. Data Engineer, Mircosoft Fabric

Lobel Financial Corporation

Anaheim, CA โ€ข On-site

$119K - $143K/yr

Full-time

Posted 14 days ago


Job description

We are seeking a Senior Data Engineer with hands-on Microsoft Fabric experience to design, build, migrate, and support enterprise data platforms. This role develops scalable ETL and ELT pipelines, implements Medallion Architecture in OneLake, Lakehouse, and Fabric Warehouse, and delivers reliable data for analytics and Power BI. The engineer partners with architects, application teams, analysts, BI developers, infrastructure teams, and business stakeholders to implement secure, governed, and high-performing data solutions.


Core Skills

Microsoft Fabric architecture and engineering: Microsoft Fabric, Data Factory, Data Pipelines, Dataflows Gen2, OneLake, Lakehouse, Fabric Warehouse, Notebooks, and Medallion Architecture.

Data pipeline development and programming: ETL/ELT, SQL, T-SQL, Python, PySpark, Spark, batch processing, incremental processing, change data capture (CDC), upsert/merge strategies, and metadata-driven frameworks.

Data migration, warehousing, and modeling: legacy platform migration, source-to-target mapping, data profiling, cleansing, reconciliation, validation, dimensional modeling, star schemas, fact tables, dimension tables, and slowly changing dimensions.


Key Responsibilities

Design, develop, test, deploy, and maintain scalable end-to-end data pipelines for batch, incremental, and near-real-time processing.

Build data ingestion and transformation solutions using Microsoft Fabric Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, SQL, Python, PySpark, Spark, and T-SQL.

Develop reusable, metadata-driven ETL/ELT frameworks that support relational databases, APIs, files, SaaS applications, cloud platforms, and structured or semi-structured data.

Implement CDC, incremental loads, upsert/merge patterns, historical processing, error handling, monitoring, and data-quality controls.

Lead legacy-to-modern data migrations, including data profiling, source-to-target mapping, cleansing, transformation, reconciliation, validation, and cutover support.

Design and implement Medallion Architecture using OneLake, Fabric Lakehouse, and Fabric Warehouse.

Create enterprise data warehouse models using dimensional modeling, star schemas, fact tables, dimension tables, and slowly changing dimensions.

Troubleshoot pipeline, data, integration, and performance issues and optimize Microsoft Fabric workloads and capacity utilization.

Document data flows, mappings, standards, lineage, and operating procedures.

Collaborate with technical and business stakeholders to deliver secure, governed, reliable, and scalable data solutions.


Required Qualifications

5+ years of professional experience in data engineering, data integration, data warehousing, business intelligence, or a related field.

Hands-on experience implementing Microsoft Fabric in a production or enterprise environment.

Experience with Microsoft Fabric Data Factory, Data Pipelines, Dataflows Gen2, OneLake, Lakehouse, Fabric Warehouse, and Notebooks.

Experience designing and implementing Medallion Architecture and enterprise ETL/ELT solutions.

Strong SQL and T-SQL development skills.

Strong Python and/or PySpark experience for data engineering and transformation.

Experience with Spark-based batch and incremental data processing.

Experience with legacy-to-modern data migration, data profiling, source-to-target mapping, transformation, reconciliation, and validation.

Strong knowledge of data warehousing and dimensional modeling, including star schemas, fact tables, dimension tables, and slowly changing dimensions.

Experience with data quality, monitoring, error handling, troubleshooting, and performance optimization.

Strong analytical, problem-solving, written communication, verbal communication, and documentation skills.


Preferred Qualifications

Microsoft Certified: Fabric Data Engineer Associate or another relevant Microsoft certification.

Experience with Power BI, semantic models, Direct Lake, DAX, and enterprise reporting.

Experience with Delta Lake, Snowflake, SQL Server, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, or Azure Databricks.

Experience integrating APIs and REST services and working with JSON, XML, or other semi-structured data.

Experience with streaming or near-real-time data integration.

Experience with enterprise data governance, metadata management, data lineage, cataloging, and automated data-quality testing.

Experience supporting large-scale modernization or data migration programs.

Experience working in Agile or Scrum environments.

Experience mentoring data engineers and establishing engineering standards.