ETL Data Platform Engineer - Azure Fabric & Lakehouse

MACHINE LEARNING TECHNOLOGIES LLC; Redmond (WA); On-site; USD 100,000 - 135,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced ETL Data Platform Developer to design and implement ETL pipelines utilizing Microsoft Fabric and Azure Data Factory. This position is based in Redmond, WA, and involves building and maintaining a metadata-driven Lakehouse architecture to support analytics and AI tools.

Applicants should have over 7 years of experience in data engineering and expertise in Microsoft Azure, SQL, and Power BI. Strong communication skills and an understanding of data governance are essential.

Qualifications

• 7+ years of experience in data engineering focusing on Microsoft Azure.
• Strong expertise in Microsoft Fabric, Azure Data Factory, and SQL.
• Proven ability to build metadata-driven architectures.

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory.
• Maintain a metadata-driven Lakehouse architecture.
• Collaborate with product teams to understand data needs.

Skills

Microsoft Azure Data stack

Microsoft Fabric

Azure Data Factory

SQL

Python

Power BI

Data modeling

Tools

Azure SQL

Azure Data Lake Storage Gen2

PySpark/Scala

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced ETL Data Platform Developer to design and implement ETL pipelines utilizing Microsoft Fabric and Azure Data Factory. This position is based in Redmond, WA, and involves building and maintaining a metadata-driven Lakehouse architecture to support analytics and AI tools.

Applicants should have over 7 years of experience in data engineering and expertise in Microsoft Azure, SQL, and Power BI. Strong communication skills and an understanding of data governance are essential.