Remote Microsoft Fabric Engineer - Data Pipelines

ParallelStaff

United States

Remote

USD 78,000 - 123,000

Full time

14 days+

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Benefits offered by this job

USD Monthly Compensation
Full-Time - 40 hrs a Week
100% Remote Work
Bonus upon performance
Vacation / Holidays Off
Sick days
Sign In Bonus USD 100

Job summary

ParallelStaff is seeking a data engineering contractor to work on Microsoft Fabric pipelines in a fully remote role for the US market. The ideal candidate will have hands-on experience with Fabric, Lakehouse architecture, and notebook-based data processing.

This 6-month contract offers overlap with US Central time, strong English, a performance-based sign-in bonus, and 100% remote work. The contractor should design flexible, parameterized pipelines, handle schema drift, and implement basic data

Qualifications

  • 6 Month contract with very solid extension options
  • Must have overlap with the US Central time zone
  • Very good spoken and written English language skills
  • Hands-on Fabric project experience (not just Azure Synapse)
  • Experience designing Landing - Bronze - Silver - Gold data models

Responsibilities

  • Build Fabric Pipelines (new generation of data movement tools)
  • Ingest data with Bronze-Silver-Gold layers
  • Implement simple Fabric Notebooks for validation
  • Set up basic data quality checks and logging

Skills

Microsoft Fabric
Lakehouse架构
Parameterized pipelines
Fabric Notebooks (Pandas/PySpark)
Data quality checks
Logging & tracking loads
Schema drift handling
Dynamic ingestion pipelines

Tools

OneLake
OneDrive shortcuts
Fabric Pipelines
Dataflows

Job description

ParallelStaff is seeking a data engineering contractor to work on Microsoft Fabric pipelines in a fully remote role for the US market. The ideal candidate will have hands-on experience with Fabric, Lakehouse architecture, and notebook-based data processing.

This 6-month contract offers overlap with US Central time, strong English, a performance-based sign-in bonus, and 100% remote work. The contractor should design flexible, parameterized pipelines, handle schema drift, and implement basic data

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