Sr Azure Data Engineer (Microsoft Fabric)
Sr Azure Data Engineer (Microsoft Fabric)
Lakewood, Colorado
|Full Time
|$ 140,000 - $ 145,000 per year
Lakewood, Colorado
Full Time
$ 140,000 - $ 145,000 per year
February 16, 2026
|Job ID: NS-DEAAS-NS_1771266434
February 16, 2026
Job ID: NS-DEAAS-NS_1771266434
Job Summary
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NOTE: This is a direct hire position.
Senior Azure Data Engineer (Microsoft Fabric)
Overview
Seeking a Senior Azure Data Engineer to design and build a modern, enterprise-scale data platform leveraging Microsoft Fabric. This role will focus on transforming transactional data into scalable, analytics-ready models using Lakehouse and Warehouse architectures.
This is a hands-on engineering position requiring deep Azure expertise and the ability to operate independently in a high-visibility environment.
Must Haves
- 7+ years of Data Engineering experience delivering enterprise-scale solutions
- Strong, hands-on experience with Azure data services
- Experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake)
- Strong experience with Azure Data Factory and/or Azure Synapse
- Hands-on experience with Spark (PySpark and/or Spark SQL)
- Advanced SQL expertise (T-SQL and/or ANSI SQL)
- Experience designing and implementing Delta Lake architectures
- Proven experience building analytical models from transactional systems
- Experience implementing Medallion architecture (Bronze / Silver / Gold)
- Ability to design, build, and optimize production-grade data pipelines
- Strong communication skills and ability to work directly with business stakeholders
Nice to Have
- Experience with AWS, Snowflake, or other cloud data platforms
- Experience with Power BI, Tableau, or MicroStrategy
- Cross-cloud data platform experience
Responsibilities
- Design and build end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark
- Architect and implement Lakehouse and Warehouse solutions within OneLake
- Implement Medallion architecture (Bronze / Silver / Gold)
- Develop scalable ETL/ELT frameworks supporting batch and incremental data ingestion
- Optimize performance through partitioning strategies, schema design, file sizing, caching, and query tuning
- Build analytical data models from transactional systems for enterprise reporting and analytics
- Implement data quality, validation, monitoring, and governance best practices
- Partner with architects and business stakeholders to translate requirements into scalable data models
- Provide technical leadership through design reviews and code reviews
Interested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.
NS-DEAAS-NS_1771266434
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