ETL Data Platform Developer

Quantum Technologies. LLC; Redmond, Northern (WA, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Quantum Technologies LLC is seeking a Senior Data Engineer to design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory in Redmond, WA. You will build metadata-driven Lakehouse architectures and orchestrate data across multiple agents to enable cross-cutting analytics.

Lead data modeling, governance, and cost/performance optimization while enabling Power BI and AI-enabled analytics for business users.

Qualifications

• 7+ years of data engineering experience focused on Microsoft Azure Data stack and Fabric technologies.
• Strong in data modeling, governance and security best practices.
• Experience with structured and semi-structured data formats.

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory.
• Build and maintain a metadata driven Lakehouse architecture to support multiple patterns.
• Develop agent specific data lakes and an orchestration layer for cross-agent queries.
• Enable interactive data consumption via Power BI and analytics/AI tools.
• Ensure data quality, lineage and governance across all processes.
• Collaborate with product teams to deliver scalable data solutions.
• Optimize performance and cost across storage and compute.

Skills

Executive comms

Microsoft Fabric

SQL

Python

PySpark/Scala

JSON/XML/CSV/Parquet

Data governance

Performance optimization

Tools

Azure Data Factory

Azure SQL

Azure Data Lake Storage Gen2

Power BI

Job description

Key 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.

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.

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