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Sr. Fabric Data Engineer

Role overview

Qualifications

  • Strong hands-on experience with Microsoft Fabric
  • Advanced proficiency in SQL, Python, and Spark
  • Experience with ETL / ELT, data modeling, and performance tuning
  • Solid understanding of Medallion architecture

Responsibilities

  • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric
  • Partner with analytics and business teams to design Power BI semantic models
  • Implement data governance, security, lineage, and compliance best practices
  • Integrate Fabric with other Microsoft services

About the company

Veracity Software Inc logo

Veracity Software Inc

Computer Software / SaaS

The definition of Veracity is accuracy and habitual truthfulness. This truly defines our brand in simplistic terms. At Veracity, we believe in doing everything in the ‘Right Way’, which means you have to challenge your own innovations and solutions all the time. Our strength lies in our employees, and with the right blend of business and technical expertise, we set the bar high for Veracity. From inception, Veracity focused on building cloud based SaaS solutions while using the latest and most advanced technology stack. We have delivered cloud based customized solutions and services to various clients across both North America and India. We have a global headquarter in Woodbridge, NJ while our offshore office is in Pune, India. We believe in bringing Global talent together, which helps us in delivering cost effective, yet highly scalable and efficient solutions. With the vision of trying to be one of the trusted IT partners as well as one of the most respected solution providers with an onsite/offshore model, Veracity is equipped with the right set of highly skilled individuals who have expertise in delivering the most effective business services and solutions for our clients. Veracity’s mission is to become the Trusted IT Partner for various businesses across globe.

Company details

IndustryComputer Software / SaaS
Company size51 - 200

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Job description

Role: Sr. Fabric Data Engineer
Engagement Type: Contract-to-Hire (C2H – 3 Months)
Work Location: Remote (EST time zone)
Start: Immediate / ASAP


We are seeking a highly skilled Senior Data Engineer with strong expertise in Microsoft Fabric to design, build, and optimize modern data pipelines and analytics platforms. This role will work across Fabric's unified ecosystem—including Data Factory, Lakehouse, Data Warehouse, OneLake, and Power BI—to deliver scalable, governed, and high-performance data solutions.
The ideal candidate will have hands-on experience migrating legacy Azure or on-prem data platforms to Fabric, implementing Medallion architecture, and collaborating closely with analytics and business stakeholders.

Key Responsibilities
Data Engineering & Architecture
  • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric.
  • Ingest, transform, and model data using Fabric Data Factory (Pipelines) and Dataflows Gen2.
  • Build and manage Lakehouses, Data Warehouses, and OneLake for scalable analytics.
  • Implement Medallion architecture (Bronze / Silver / Gold layers).
Analytics & BI Enablement
  • Partner with analytics and business teams to design Power BI semantic models.
  • Support high-performance reporting through optimized datasets and models.
  • Enable downstream analytics through clean, well-modeled data layers.
Governance, Performance & Optimization
  • Implement data governance, security, lineage, and compliance best practices.
  • Optimize Fabric workloads for performance and cost efficiency.
  • Monitor and troubleshoot pipelines using Fabric monitoring tools.
Integration & Automation
  • Integrate Fabric with other Microsoft services:
    • Azure Synapse
    • Azure Data Lake
    • Power Platform
  • Automate data quality checks and validation using:
    • Fabric Notebooks (Python / Spark)
    • Data Activator
  • Support migration from Azure Synapse, Databricks, or SQL Server to Fabric.
Required Skills & Experience
  • Strong hands-on experience with Microsoft Fabric:
    • Data Factory (Fabric Pipelines)
    • Lakehouse
    • Data Warehouse
    • OneLake
    • Power BI
  • Advanced proficiency in SQL, Python, and Spark
  • Experience with ETL / ELT, data modeling, and performance tuning
  • Solid understanding of Medallion architecture
  • Experience with Azure Data Services (Data Lake, Synapse, ADF v2)
  • Knowledge of data governance, lineage, and security
  • Experience with Git and CI/CD for data pipelines
  • Hands-on experience with Power BI datasets, semantic models, and DAX (preferred)
Preferred Qualifications
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Experience migrating Azure data ecosystems to Fabric
  • Exposure to real-time analytics / event-driven data
  • Experience preparing ML datasets using Fabric Notebooks

Recruiter Submission Template –


Full Name:
Highest Degree (Field, Institution & Completion Year):
Total Years of Data Engineering Experience:
Total Years of Experience with Microsoft Fabric (Required):
Hands-on experience with Microsoft Fabric components (Yes/No):
  • Data Factory / Fabric Pipelines:
  • Dataflows Gen2:
  • Lakehouse:
  • Data Warehouse:
  • OneLake:
Experience designing end-to-end data pipelines in Microsoft Fabric:
Experience ingesting and transforming data from multiple sources:
Experience building and managing Lakehouses and Warehouses:
Understanding of Medallion Architecture (Bronze–Silver–Gold):
Experience with Power BI datasets and semantic models:
Experience with DAX (Yes/No):
Experience collaborating with business/analytics teams:
Experience with Azure Data Services (Yes/No):
  • Azure Data Lake:
  • Azure Synapse:
  • Azure Data Factory v2:
Experience integrating Fabric with other Microsoft services:
Experience implementing data governance, lineage, and security (Yes/No):
Experience automating data quality checks using Fabric Notebooks (Python/Spark) or Data Activator (Yes/No):
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) (Yes/No):
Motivation for Interest in This Position:
Contact Number:
Email ID:
LinkedIn Profile URL:
Full Address (Street, City, State, Zip):
Notice Period (in weeks):
Current Work Authorization Status:
Expected Hourly Rate on W2:
Earliest Interview Availability:
Earliest Start Date:

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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