Azure / Microsoft Fabric Data Engineer

Machine Learning Technologies, LLC; Deerfield Beach (FL); On-site; USD 77,000 - 110,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a data engineer with hands-on Microsoft Fabric experience for a 7-month engagement in Florida. You will design and optimize Fabric Pipelines, Notebooks, and One Lake architectures, applying Medallion patterns and strong SQL/Python skills.

Responsibilities include ETL/ELT, data modelling, and collaboration on Synapse-to-Fabric migration, Power BI data prep, and supporting data science with feature engineering. CI/CD and IaC (Bicep) familiarity is a plus.

Qualifications

• Hands-on experience with Microsoft Fabric Data Engineering.
• Knowledge of Fabric Pipelines, Notebooks and One Lake.
• Experience implementing Medallion Architecture patterns.
• Strong SQL and Python programming.
• Experience with ETL/ELT and data modelling.

Skills

Fabric Data Engineering

Fabric Pipelines

One Lake

Medallion Architecture

SQL

Python

ETL/ELT

Data Modelling

Synapse-to-Fabric migration

Power BI

Data Science support

CI/CD

Infrastructure as Code

Bicep

Tools

Power BI

Azure Synapse

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Duration: 7 Months+ Extension

Bill Rate: $68/hour(C2C)
Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

Must-Have Skills:

• Hands-on Microsoft Fabric Data Engineering experience.
• Fabric Pipelines, Notebooks, One Lake.
• Medallion Architecture.
• Strong SQL and Python.
• ETL/ELT and Data Modelling.

Additional Skills:

• Synapse-to-Fabric migration/modernization.
• Power BI data preparation.
• Data Science / Feature Engineering support.
• CI/CD, Agile, and Infrastructure as Code (Bicep knowledge).

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.