About this opportunity
Empiric lists this Microsoft Fabric Data Engineer opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Base pay range
$120,000.00/yr - $130,000.00/yr
Additional compensation types
Annual Bonus
Direct message the job poster from Empiric
Consultant @ Empiric | Microsoft Fabric & Data | Former DI Volleyball Player
We’re hiring a Data Engineer to lead the modernization of enterprise data pipelines using Microsoft Fabric in Dallas, TX!
What you'll do
Design and build data pipelines in Microsoft Fabric (Dataflow Gen2, Pipelines, Lakehouse)
Lead the migration of legacy SSIS and SQL-based ETL into Fabric
Develop advanced SQL and use Python for data transformation and automation
Deliver trusted, analytics-ready datasets for BI and reporting
Requirements
5 years of experience in the data engineering realm
Hands‑on experience with Microsoft Fabric, including Dataflow Gen2, Lakehouse, data pipelines, and Fabric‑native orchestration.
Strong background in Azure Data Factory (ADF) for building, scheduling, and monitoring data pipelines, including migration or modernization from legacy ETL.
Proficiency in Python for data transformation, automation, data validation, and data quality checks within cloud data platforms.
Solid understanding and practical experience implementing Medallion Architecture (Bronze/Silver/Gold) for scalable, governed analytics solutions.
Advanced SQL skills for developing and optimizing complex queries, stored procedures, and transformations across relational and cloud data sources.
Must be a US Citizen or Green Card holder
Details
Full‑time role
Hybrid in Dallas, TX (3 days on‑site, 2 days remote flex)
$120k–$130k base
Performance based bonus
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Staffing and Recruiting
Benefits (inferred)
Medical insurance
Vision insurance
401(k)
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.