Azure Data Platform ETL Engineer Onsite Redmond

MACHINE LEARNING TECHNOLOGIES LLC; Redmond (WA); On-site; USD 130,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Redmond, WA seeks an ETL Data Platform Developer to design and implement robust data pipelines using Microsoft Fabric and the Azure data stack. The role focuses on building a metadata-driven Lakehouse and an orchestration layer for cross-agent queries.

You will enable interactive analytics via Power BI and AI tools, ensure data quality, governance, and security, and collaborate with product teams to deliver scalable data solutions while optimizing cost and

Qualifications

• 7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse ,warehouse, sql)
• Build and maintain a metadata driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent specific data lakes and an orchestration layer for an uber agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics and AI tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.

Skills

Executive comms

SQL

Python

PySpark/Scala

Data modeling

Data governance

Security best practices

Agent-based architectures

Conversational AI integration

Tools

Microsoft Fabric

Azure Data Factory

Azure SQL

Azure Data Lake Storage Gen2

Power BI

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Redmond, WA seeks an ETL Data Platform Developer to design and implement robust data pipelines using Microsoft Fabric and the Azure data stack. The role focuses on building a metadata-driven Lakehouse and an orchestration layer for cross-agent queries.

You will enable interactive analytics via Power BI and AI tools, ensure data quality, governance, and security, and collaborate with product teams to deliver scalable data solutions while optimizing cost and