Senior Data Engineer; Fabric

(Please only direct applicants only – no C2C or sponsorship available. Open to Green Card holders and U.S. Citizens only)

Join a data-rich, fast-evolving services company as it modernizes its analytics platform from the ground up using modern cloud and data technologies. With executive sponsorship and a live production environment, this is a chance to make a lasting impact on how data powers the business - not just maintain what already exists.

• Fully Onsite: 5 days/week (Core hours: 9:00 AM – 3:30 PM MST)
• Salary Range: $,000 ($5,000 - $10,000 flexibility for direct alignment)

We’re hiring a Senior Data Engineer to take a lead role in a large-scale Microsoft Fabric implementation that is already live and actively used by the business. This role focuses on building and scaling a modern analytics platform that supports enterprise reporting, analytics, and decision-making.

You’ll work hands-on across Fabric Lakehouse, Warehouse, One Lake, and Direct Lake
, with meaningful platform ownership and direct exposure to senior stakeholders. This is a high-impact role with long-term influence as the platform continues to mature and scale.

• Design and deliver end-to-end data pipelines using Microsoft Fabric
  , Spark
  , and Azure Data Factory
• Build and optimize Lakehouse and Warehouse solutions using Delta Lake
• Implement and evolve Medallion architecture (Bronze/Silver/Gold) within One Lake
• Develop scalable ETL/ELT patterns for batch and incremental ingestion
• Tune performance through data modeling, partitioning, file design, and query optimization
• Enable analytics via semantic models and Direct Lake for reporting platforms
• Establish data quality, monitoring, and governance standards
• Collaborate with engineers, product teams, and business stakeholders on data modeling and design
• Provide technical leadership through design reviews and code reviews

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, One Lake)
• Solid background in Azure data services (ADF, Synapse or equivalent)
• Advanced Spark (PySpark / Spark SQL) and SQL skills
• Experience with Delta Lake and modern data lake architectures
• Familiarity with analytics tools such as Power BI or similar
• Ability to clearly communicate technical concepts to both technical and non-technical audiences

• Own and shape a real, enterprise-scale Microsoft Fabric platform
• Work in a technically strong team with experienced engineers
• High visibility, real autonomy, and long-term impact
• Clear path for technical growth and architectural influence