ETL Data Platform Developer

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

Job Description

Job Overview

• Job ID: J52988
• Job Title: ETL Data Platform Developer
• Location: Redmond, WA
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Summary

Role: ETL Data Platform Developer

Location: Redmond, WA (Onsite)

Key Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouses, SQL) and Azure Data Factory.
• 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.

Required Qualifications

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

Strong Expertise In

• Executive written and oral communication
• Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
• Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
• Power BI and/or other visualization tools
• SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet)
• Proven ability to build metadata-driven architectures and reusable components
• Familiarity with agent-based architectures and conversational AI integration is a plus
• Strong understanding of data modeling, data governance, and security best practices

Apply Now

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract