Microsoft Fabric Data Engineer

Mastech Digital
provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a
Microsoft
Fabric Data Engineer
for our client in the
Consulting Services
domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a
Contract
position, and the client is looking for someone to start immediately.

Duration:
12 Months Contract

Salary:
$70.00-$90.00/Hourly

Role: Microsoft Fabric Data Engineer
Primary Skills: MS Azure
Role Description:
The
Microsoft Fabric Data Engineer
must have 10+ years of experience. For this role, you must be a Data Engineer with strong Microsoft Fabric experience to help build and scale a modern data platform that will support future AI and advanced analytics initiatives.

This role will focus on designing and implementing Microsoft Fabric infrastructure, developing data pipelines using Python and PySpark, and enabling data readiness for upcoming AI projects.

Key Responsibilities

• Design, build, and maintain Microsoft Fabric data infrastructure
• Develop and optimize data pipelines using PySpark and Python
• Work with Fabric components such as:

Lakehouse

Data Engineering workloads

OneLake

Dataflows/Notebooks

• Ingest, transform, and curate data from multiple sources
• Ensure data quality, performance, and scalability
• Collaborate with analytics and AI teams to prepare data for AI/ML use cases
• Support and enhance existing data models and pipelines
• Follow best practices for data engineering, security, and governance

Required Skills & Experience

• Strong hands-on experience with Microsoft Fabric
• Proficiency in Python and PySpark
• Experience building ETL/ELT pipelines
• Good understanding of data lakes and distributed data processing
• Experience working with structured and semi-structured data
• Strong problem-solving and communication skills

Education:
Bachelors degree

Experience:
Minimum 10+ years of experience

Travel:
No

Local Preferred:
Yes

Note:
Must be able to work on a W2 basis (No C2C)