ETL Data Platform Developer

Quantum Technologies. LLC; Redmond (WA); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology solutions provider in Redmond is looking for a Data Engineer with over 7 years of experience focused on Microsoft's Azure Data stack and Fabric technologies. The role involves designing and implementing ETL pipelines, developing metadata-driven architectures, and ensuring data quality and governance. Applicants should have strong expertise in data modeling, SQL, Python, Power BI, and various data formats. This position supports a collaborative and innovative work environment.

Qualifications

• 7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.
• Proven ability to build metadata driven architectures and reusable components.
• Strong understanding of data quality, lineage, and governance.

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory.
• Develop agent-specific data lakes and an orchestration layer for querying across agents.
• Enable interactive data consumption via Power BI and other analytics tools.

Skills

Executive written and oral communication

Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)

Azure Data Factory

Power BI

SQL

Python

PySpark/Scala

Experience with structured and semi-structured data

Data modeling

Data governance

Security best practices

Tools

Azure SQL

Azure Data Lake Storage Gen2

Job description

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, 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.

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.

QUANTUM 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. QUANTUM 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 QUANTUM 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